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Our analysts help Tech leaders navigate AI technology decisions with confidence & clarity, backed by data and developer research. About More Navigate AI technology decisions with confidence & clarity Analyst guidance, validated by developers: the early adopters and reliable predictors of AI tech trends Boost developer adoption by making the right strategy investments Our analysts can help you drive decision-making with confidence TALK TO OUR ANALYSTS Just in: New AI insights Choosing the right AI coding tools for your team SEE THE REPORT AI Coding Tools Benchmark: A comparison of 20 most prominent AI developer tools SEE THE LEADERS AI developer tools free webinar SAVE YOUR SPOT Blog Latest Who we are & what we do SlashData is an AI analyst firm which has been working with the top Tech brands to provide clarity and confidence in their decision-making. For 20 years, we have been tracking software technology trends and helping technology brands make product and marketing investment decisions. We challenge assumptions and reframe market trends to empower industry leaders to drive the world towards the future, by talking to developers, the early adopters and predictors of AI tech. They trust us Make AI your competitive advantage, not a liability Contact us Subject * I'm contacting you for First name* Last name* Work Email* Company * Role* Message SUBMIT

Explore Q1 2026 trends in developers’ AI usage and how organisations measure AI coding tool ROI, with practical signals for product, marketing, and DevRel teams. About More Free Live AI Webinar | March 31st | Free Slide Deck Available New data: AI usage and measuring AI ROI Sourced through an independent, global survey of 11,880+ software developers. This webinar has now ended. You can still download the free slide deck with the key findings. Inside the deck: ✅ How software developers are interacting with AI technologies ✅ Growth of AI assisted tools usage ✅ Do developers in leadership roles feel benefits exceed the costs of AI tools? ✅ How many tech leaders are measuring the ROI of AI? ✅ How AI ROI measurement maturity changes based on company size DOWNLOAD THE SLIDE DECK SAVE YOUR SEAT They trust us Highlights you can't miss: Access the deck First name Last name Email Position Company name I agree to be contacted and to SlashData's Privacy Policy ACCESS THE SLIDE DECK SAVE YOUR SEAT AI developer tools adoption, satisfaction & what to expect in 2026 , based on data AI coding tools are now mainstream: 69% of professional developers who responded to our survey use them for most or nearly all of their coding work. At the same time: Product managers and AI coding tools PMMs lack clarity about what features drive developer engagement and performance Developer team leads struggle to choose a tool to adopt, which could make or break their team’s current productivity. In this session, we unpack clear signals and what these mean for developer-facing activities around AI coding tools. Register to access the live briefing + a Q&A session with Bleona Bicaj. SAVE YOUR SEAT Why you can't get this from an AI search In this webinar In a typical AI search Results from a structured study of 200+ questions tracked across 20 years Summaries of publicly available articles or opinions Comparisons across tools measured using the same survey design and methodology Fragmented information from different sources using different metrics Signals about how professionals measure ROI based on real use cases and validated responses Publicised internal telemetrics or calculated guesses Interpretation from the analysts who designed the research and analysed the dataset Synthesised summaries without context about how the data was generated Discussion of patterns emerging across the AI developer and coding tools usage Summaries based on tool provider announcements Opportunity to ask questions about what the findings mean for your product or strategy AI guesses based on popular breakdowns What we will cover in this webinar session 1. AI usage How developers are interacting with AI technologies in Q1 2026 Trends on developers' interaction with AI technologies 2. AI ROI Do senior engineering leaders believe AI coding tools are worth the investment? Are organisations actually tracking whether AI tools deliver, or relying on instinct? Among measurers, how structured is that process – and does "we measure it" mean anything consistent across the market? How does measurement maturity differ between different company sizes? 3. Introducing: AI Developer Tools Benchmark We know that choosing the right AI developer tool, or making the case for one internally, is harder than it should be. There's a lot of noise, a lot of vendor claims, and not enough independent signal. That's exactly why we built the AI Developer Tools Benchmark. It is a rigorous, survey-based study that gives engineering leaders and product teams a clear, comparable view of how today's leading AI coding tools actually perform: across productivity, trust, quality, and value. Real data from real developers so that you can make decisions with confidence. Presenter Bleona Bicaj, Principal Research Consultant & Product Strategist Bleona is a research consultant, enthusiastic about product strategy and behavioural science. She holds a Master’s in Economic and Consumer Psychology. With more than 6 years of professional experience as an analyst, she has worked across quantitative and qualitative research studies, turning complex data into clear narratives that inform better products, smarter investments, and long-term growth. Methodology & data source Developer Nation 31st edition reached over 11,880 respondents around the world. As such, the Developer Nation series continues to be the most comprehensive independent research on mobile, desktop, Industrial IoT, consumer electronics, 3rd party app ecosystems, cloud, web, game, AR/VR and machine learning developers and data scientists combined ever conducted. All insights are based on the large-scale online developer survey designed, produced and carried out by SlashData over a period of six and a half weeks between December 2025 and January 2026. All SlashData surveys are monitored and cleaned to ensure the highest standards of retained responses. Our proprietary cleansing is designed to mitigate and remove opportunistic, fraudulent, and bot responses. Consisting of multiple criteria formulated around logic rules, speed, consistency, and response-taking behaviour, this holistic assessment is key to ensuring the highest degree of data quality. FAQs about the webinar If I can’t attend live, should I still register for the AI developer tools webinar? Yes. Registrants receive the recording and slides after the session, so you can still use the content internally but you will miss the ability to interact during the QnA section and the chance to connect with the speakers. What exactly do I get immediately after registering? A confirmation and access details via Luma, plus delivery of the free benchmark snapshot as part of the registration flow. Can I share the webinar materials internally? Of course. The recording and slides are designed to power decisions, so all insights are presented in a way that encourages discussion and internal circulation across engineering, product, procurement, and finance stakeholders. What data will be discussed publicly versus reserved for the full benchmark? This webinar covers the benchmark signals and how to interpret them for strategic decisions. Deeper data cuts, dashboards and tailored competitive benchmarkings are available exclusively through an analyst briefing. Contact us to organise a walkthrough of the available insights you can access. Make AI your competitive advantage, not a liability Contact us Subject * I'm contacting you for First name* Last name* Work Email* Company * Role* Message SUBMIT

Artificial Intelligence (AI) has become a core infrastructure component of modern software engineering, reshaping everything from how code is written to how software teams deliver value. As AI developer tools move from experimental add-ons to a mission-critical capability, engineering leaders face increasing pressure to distinguish genuine productivity gains from marketing hype. This report benchmarks the rapidly evolving landscape of AI coding assistants, agents, and AI-native IDEs – hereby referred to as AI developer tools. By doing this, we provide a clear path to understanding not just which tools are leading, but how they are fundamentally changing how developers work. The goal is to highlight for vendors where the strongest opportunities and gaps exist. To understand the success of the AI developer tools included in our research, we use different metrics, with the main ones being adoption – the percentage of developers in our survey who are currently using each tool – and satisfaction (CSAT) – how developers score the help that they receive from each tool on certain tasks, equal to the proportion of four- and five-star reviews. To supplement these, we examine other metrics, like workflow reliance, task-level quality, trustworthiness, and measurable productivity gains. The results in this report were collected in Q1 2026 from a global panel of 2,393 professional developers who use AI developer tools in their workflows. We benchmarked 20 of the most prominent AI developer tools, selected for their market impact and technological relevance. They are, in alphabetical order: Aider, Amazon Q Developer, Amp (formerly Sourcegraph Amp), Claude Code, Cline, Cursor, Devin, Gemini CLI / Gemini Code Assist, GitHub Copilot, GitLab Duo, Google Antigravity, JetBrains AI, Kiro, Mistral Code, OpenAI Codex, Replit, Tabnine, Trae, v0 by Vercel, and Windsurf. All Insights AI Developer Tools Benchmark How AI developer tools compare in terms of key performance indicators Access the Full Preview About this Report Artificial Intelligence (AI) has become a core infrastructure component of modern software engineering, reshaping everything from how code is written to how software teams deliver value. As AI developer tools move from experimental add-ons to a mission-critical capability, engineering leaders face increasing pressure to distinguish genuine productivity gains from marketing hype. This report benchmarks the rapidly evolving landscape of AI coding assistants, agents, and AI-native IDEs – hereby referred to as AI developer tools. By doing this, we provide a clear path to understanding not just which tools are leading, but how they are fundamentally changing how developers work. The goal is to highlight for vendors where the strongest opportunities and gaps exist. To understand the success of the AI developer tools included in our research, we use different metrics, with the main ones being adoption – the percentage of developers in our survey who are currently using each tool – and satisfaction (CSAT) – how developers score the help that they receive from each tool on certain tasks, equal to the proportion of four- and five-star reviews. To supplement these, we examine other metrics, like workflow reliance, task-level quality, trustworthiness, and measurable productivity gains. The results in this report were collected in Q1 2026 from a global panel of 2,393 professional developers who use AI developer tools in their workflows. We benchmarked 20 of the most prominent AI developer tools, selected for their market impact and technological relevance. They are, in alphabetical order: Aider, Amazon Q Developer, Amp (formerly Sourcegraph Amp), Claude Code, Cline, Cursor, Devin, Gemini CLI / Gemini Code Assist, GitHub Copilot, GitLab Duo, Google Antigravity, JetBrains AI, Kiro, Mistral Code, OpenAI Codex, Replit, Tabnine, Trae, v0 by Vercel, and Windsurf. Key Questions Answered Which AI developer tools are developers actually using, and how does awareness translate into adoption? Which tasks are AI developer tools good at, and where is the market still falling short? Where is the clearest product opportunity for vendors looking to differentiate? Which tools are delivering measurable productivity gains? How much autonomy are developers granting AI agents today, and what is holding them back from granting more? Click to expand ACCESS THE FULL PREVIEW Methodology The report is based on data collected from the 31th edition of the Developer Nation survey edition of the Developer Nation survey, a large-scale, online developer survey that was designed, hosted, and fielded by SlashData over a period of seven weeks between December 2025 and January 2026. Questions? Let's talk! Fill the form. Natasa and Petro will help you drive developer adoption: Name Email I have read and agree to SlashData's Privacy Policy and I want to be contacted. GET IN TOUCH WITH ME Frequently asked questions (F.A.Q.) Who benefits from these reports? Leaders who need to: Make or defend a high-stakes decision Secure budget Enter a market Reposition a product Prove ROI Reduce uncertainty Build a high-adoption product roadmap If you’re under pressure to justify a strategic move with evidence, that’s where our insights help most. What makes SlashData different from other research providers? We focus on developers as the deciders of the future. They are the early adopters and signal the trends to come. Our methodology is rigorous and airtight, ensuring our data is of the highest quality and exceeds industry standards. Our research connects: Developer awareness, adoption, usage and satisfaction Feature importance and pricing sensitivity Competitive positioning and switching behaviour So you don’t just get numbers. You get decision context: what the data means for your roadmap, budget, or go-to-market. How reliable is the data? We run large-scale, independent, global developer research surveys with consistent methodology across waves. Our methodology is rigorous both at clearing our fraudulent (or inaccurate) data and in weighting for proper distribution and reduced margin of error. We take pride in our supreme data quality, and we can prove it. Our results are defensible evidence you can take to an exec review without thinking twice. Can this support a business case or budget proposal? Yes. Many clients use our data to: Justify entering a new developer segment Prioritise features based on quantified demand Secure budget for DevRel, AI tooling, or marketing Validate pricing or packaging changes We translate population estimates and sentiment data into clear, actionable foresight, not charts. How do you ensure credibility with our executive team? We take pride in our rigorous methodology. Our work is: Global and independent Methodologically rigorous Focused on clean data Transparent in assumptions Clear about weighting and limitations. We are confident our insights can stand up to any CXO or Board scrutiny. Do you replace internal research or complement it? We complement it. Internal Analytics tells you what your users are doing. We tell you what the market is doing, including non-users and competitor users. That combination gives you: Internal performance clarity External positioning confidence Together, it reduces blind spots and uncovers opportunities I don’t see my company/product on the list. Can you benchmark us against our competitors? Most probably yes. Even if you don’t see your product in a report, we can pull extensive data for you on awareness, trial, usage, satisfaction, and feature perception. Please get in touch and we can dive in it together. Is this relevant if we sell AI tooling? Absolutely. For AI vendors, we support: Developer adoption tracking Productivity gains Tool benchmarking on awareness, engagement and more Enterprise buying criteria insights Security and compliance sentiment ROI perception We help you understand both AI tool builders demand and buying friction. How long do projects typically take? It depends on complexity. Some projects are focused and fast. Others involve deeper segmentation or spread across multiple geographies. Depending on the request, we will share a roadmap early on so you know when to expect what. Contact us First name* Last name* Work Email* Company * Role* Message I agree to SlashData's Privacy Policy and I want to be contacted * SUBMIT

The Competitive Technology Landscape tracks the performance of competing technologies in awareness, adoption and developer satisfaction. Get developers to use your product The Competitive Technology Landscape looks at your offering, your competition and the market and helps you understand where you stand. What it tracks Awareness Adoption Developer satisfaction It allows you to understand which developers prefer what you are offering, the reasons why and how you can fine-tune it to invest in what matters most to developers. You can also track your offering’s awareness and benchmark it against the market. All these insights come directly from developers around the world. The Competitive Technology Landscape tracks the performance of competing technologies in What it answers How many developers are aware of, and how many are using your and your competitors’ solutions? Which solutions are developers adopting? Which are they abandoning? For what reasons is each solution rejected and adopted? Which tool aspects matter the most to developers? How do they score the solutions they use based on these attributes? How do competing solutions compare in terms of developer satisfaction score and NPS? What are the key weaknesses and strengths of each solution? Through this solution, you can answer questions such as Explore our latest research 10 December 2025 AI Coding Tools Benchmark MORE 7 October 2025 AI-assisted coding tools Competitive Technology Landscape Report Q3 2025 MORE 20 March 2025 AI-assisted coding tools Competitive Technology Landscape Report Q1 2025 MORE 1 September 2024 Cloud-based development environments Market Landscape Report Q3 2024 MORE 1 July 2024 Payment APIs Market Landscape Report Q1 2024 MORE 1 May 2024 CI/CD tools Market Landscape Report Q1 2024 MORE 1 November 2023 Test Automation/Management Tools Market Landscape Report Q3 2023 MORE 1 June 2023 3rd Party Payment APIs Market Landscape Report Q1 2023 MORE 1 June 2023 Application Security Testing Market Landscape Report Q1 2023 MORE 1 March 2023 Application Performance Monitoring Market Landscape Report Q3 2022 MORE Do you want to effectively talk to developers in a specific sector or understand their needs? LET'S TALK

Developer Ecosystem insights are a collection of reports focused on analysing the technology industry and showcasing trends in Web apps, Mobile apps, Desktop apps, Cloud / backend services, AR/VR, Games, IoT, ML/AI & Data Science, Embedded software, Apps/extensions for 3rd-party platforms, DevOps and more! Explore our latest research Mobile Desktop Web Cloud/Backend AR/VR Games IoT ML/AI & Data Science Embedded Software 3rd-party Platforms DevOps Mobile 22 May 2025 How and where to reach developers? MORE 1 October 2024 Developers’ experience with integrating AI functionality MORE 1 October 2024 Landscape of network APIs MORE 1 June 2024 Landscape of mobile games development MORE 1 May 2024 How developers use AI-assisted development tools MORE 1 January 2024 Mobile developers population forecast MORE 1 December 2023 Which content types do developers value? MORE 1 December 2023 Measuring developer productivity MORE 1 October 2023 How developers integrate generative AI into their apps MORE 1 July 2023 Concerns, challenges, and use of third-part APIs MORE 1 July 2023 Who's integrating sustainable software engineering principles? MORE 1 April 2023 How and where to reach mobile developers MORE 1 March 2023 Observability in software development MORE 1 March 2023 A spotlight on blockchain developers MORE 1 February 2023 Applications and shift-left security MORE 6 November 2025 Building on the blockchain in 2025 MORE 22 May 2025 How and where to reach developers? MORE 4 February 2025 Understanding Progressive Web App Developers in 2025 MORE 1 October 2024 Landscape of network APIs MORE 1 October 2024 Developers’ experience with integrating AI functionality MORE 1 May 2024 How developers use AI-assisted development tools MORE 1 December 2023 Which content types do developers value? MORE 1 December 2023 Measuring developer productivity MORE 1 November 2023 Landscape of Web3 development MORE 1 October 2023 How developers integrate generative AI into their apps MORE 1 July 2023 Who's integrating sustainable software engineering principles? MORE 1 July 2023 Concerns, challenges, and use of third-part APIs MORE 1 March 2023 A spotlight on blockchain developers MORE 1 March 2023 Observability in software development MORE 1 February 2023 The landscape of web development and framework usage MORE 1 February 2023 Applications and shift-left security MORE Web 31 October 2025 Data Residency Compliance Challenges and Organisational Responsibility MORE 22 May 2025 How and where to reach developers? MORE 8 May 2025 Multicloud adoption experience MORE 1 October 2024 Landscape of network APIs MORE 1 October 2024 Developers’ experience with integrating AI functionality MORE 1 June 2024 Hardware architecture - Optimised coding among backend developers MORE 1 May 2024 How developers use AI-assisted development tools MORE 1 May 2024 Journey to cloud-native maturity MORE 1 February 2024 Segmenting the backend developer population MORE 1 December 2023 Which content types do developers value? MORE 1 December 2023 Measuring developer productivity MORE 1 November 2023 Landscape of Web3 development MORE 1 October 2023 How developers integrate generative AI into their apps MORE 1 August 2023 Backend developer population forecast 2024 MORE 1 July 2023 Who's integrating sustainable software engineering principles? MORE 1 July 2023 Concerns, challenges, and use of third-part APIs MORE 1 July 2023 Challenges in multi-cloud deployment MORE 1 June 2023 How and where to reach cloud developers MORE 1 March 2023 Observability in software development MORE 1 March 2023 A spotlight on blockchain developers MORE 1 February 2023 Applications and shift-left security MORE 1 December 2022 Emerging practices in MLops / DataOps MORE 1 November 2022 Landscape of cloud-native development MORE Cloud/Backend 30 October 2025 The State of AR/VR Development 2025 MORE 22 May 2025 How and where to reach developers? MORE 1 November 2024 Which technologies are used in AR and VR projects? MORE 1 October 2024 Landscape of network APIs MORE 1 October 2024 Developers’ experience with integrating AI functionality MORE 1 May 2024 How developers use AI-assisted development tools MORE 1 January 2024 How AR/VR practitioners monetise their projects MORE 1 December 2023 Measuring developer productivity MORE 1 December 2023 Which content types do developers value? MORE 1 October 2023 How developers integrate generative AI into their apps MORE 1 August 2023 AR/VR developers & creators population forecast MORE 1 July 2023 Who's integrating sustainable software engineering principles? MORE 1 July 2023 Concerns, challenges, and use of third-part APIs MORE 1 March 2023 Observability in software development MORE 1 March 2023 A spotlight on blockchain developers MORE 1 February 2023 Applications and shift-left security MORE AR/VR 18 November 2025 The State of Game Development 2025 MORE 22 May 2025 How and where to reach developers? MORE 1 October 2024 Developers’ experience with integrating AI functionality MORE 1 October 2024 Landscape of network APIs MORE 1 June 2024 Game developer population forecast MORE 1 May 2024 How developers use AI-assisted development tools MORE 1 December 2023 Measuring developer productivity MORE 1 December 2023 Which content types do developers value? MORE 1 October 2023 How developers integrate generative AI into their apps MORE 1 July 2023 Who's integrating sustainable software engineering principles? MORE 1 July 2023 Concerns, challenges, and use of third-part APIs MORE 1 July 2023 Landscape of game developers MORE 1 March 2023 A spotlight on blockchain developers MORE 1 March 2023 Observability in software development MORE 1 February 2023 Applications and shift-left security MORE Games 29 October 2025 IIoT accessibility MORE 22 May 2025 How and where to reach developers? MORE 1 October 2024 Landscape of network APIs MORE 1 October 2024 Developers’ experience with integrating AI functionality MORE 1 July 2024 Living on the edge MORE 1 June 2024 IoT developer population forecast MORE 1 May 2024 How developers use AI-assisted development tools MORE 1 December 2023 How and where to reach IoT developers MORE 1 December 2023 Which content types do developers value? MORE 1 December 2023 Networking in IoT applications MORE 1 December 2023 Measuring developer productivity MORE 1 October 2023 How developers integrate generative AI into their apps MORE 1 July 2023 Who's integrating sustainable software engineering principles? MORE 1 July 2023 Concerns, challenges, and use of third-part APIs MORE 1 March 2023 A spotlight on blockchain developers MORE 1 March 2023 Wearable Device Developers and their Platform Choices MORE 1 March 2023 Observability in software development MORE 1 February 2023 Applications and shift-left security MORE IoT 20 April 2026 AI Developer Tools Benchmark MORE 20 November 2025 Agentic AI architectures: Adoption, use cases, protocols, and frameworks MORE 13 November 2025 Understanding the reluctance towards building generative AI applications MORE 22 May 2025 How and where to reach developers? MORE 29 April 2025 Benchmarking of fully-managed generative AI services/APIs MORE 30 January 2025 The state of machine learning and data science MORE 1 November 2024 Trust, risk, and security management in AI MORE 1 October 2024 Developers’ experience with integrating AI functionality MORE 1 October 2024 Landscape of network APIs MORE 1 May 2024 ML developer population forecast MORE 1 May 2024 How developers use AI-assisted development tools MORE 1 February 2024 How and where to reach data scientists and ML/AI developers MORE 1 December 2023 Measuring developer productivity MORE 1 December 2023 Which content types do developers value? MORE 1 October 2023 How developers integrate generative AI into their apps MORE 1 July 2023 Concerns, challenges, and use of third-part APIs MORE 1 July 2023 Who's integrating sustainable software engineering principles? MORE 1 May 2023 Types of data ML/AI devs work with MORE 1 March 2023 Observability in software development MORE 1 March 2023 A spotlight on blockchain developers MORE 1 February 2023 Applications and shift-left security MORE 1 December 2022 Emerging practices in MLops / DataOps MORE ML/AI & Data Science 29 December 2025 Integration of AI into edge devices MORE 22 May 2025 How and where to reach developers? MORE 1 October 2024 Developers’ experience with integrating AI functionality MORE 1 October 2024 Landscape of network APIs MORE 1 May 2024 How developers use AI-assisted development tools MORE 1 December 2023 Measuring developer productivity MORE 1 December 2023 Which content types do developers value? MORE 1 October 2023 How developers integrate generative AI into their apps MORE 1 July 2023 Who's integrating sustainable software engineering principles? MORE 1 July 2023 Concerns, challenges, and use of third-part APIs MORE 1 May 2023 Embedded developers population forecast MORE 1 March 2023 Observability in software development MORE 1 March 2023 A spotlight on blockchain developers MORE 1 February 2023 Applications and shift-left security MORE Embedded Software 22 May 2025 How and where to reach developers? MORE 1 October 2024 Developers’ experience with integrating AI functionality MORE 1 October 2024 Landscape of network APIs MORE 1 May 2024 How developers use AI-assisted development tools MORE 1 December 2023 Which content types do developers value? MORE 1 December 2023 Measuring developer productivity MORE 1 October 2023 How developers integrate generative AI into their apps MORE 1 July 2023 Who's integrating sustainable software engineering principles? MORE 1 July 2023 Concerns, challenges, and use of third-part APIs MORE 1 March 2023 Observability in software development MORE 1 March 2023 A spotlight on blockchain developers MORE 1 February 2023 Applications and shift-left security MORE 3rd-party Platforms 30 December 2025 Impact of Platform Strategies on Security Practices in Software Development MORE 24 June 2025 Motivations behind various DevOps practices MORE 22 May 2025 How and where to reach developers? MORE 1 November 2024 Dependency Management in Software Development MORE 1 October 2024 Landscape of network APIs MORE 1 October 2024 Developers’ experience with integrating AI functionality MORE 1 June 2024 Software supply chain management in organisations MORE 1 May 2024 How developers use AI-assisted development tools MORE 1 December 2023 Measuring developer productivity MORE 1 December 2023 Which content types do developers value? MORE 1 October 2023 How developers integrate generative AI into their apps MORE 1 July 2023 Concerns, challenges, and use of third-part APIs MORE 1 July 2023 Who's integrating sustainable software engineering principles? MORE 1 March 2023 Observability in software development MORE 1 March 2023 A spotlight on blockchain developers MORE 1 February 2023 Applications and shift-left security MORE 1 December 2022 Emerging practices in MLops / DataOps MORE DevOps Desktop 22 May 2025 How and where to reach developers? MORE 12 February 2025 The current landscape of Arm-based Windows application development MORE 1 October 2024 Landscape of network APIs MORE 1 October 2024 Developers’ experience with integrating AI functionality MORE 1 May 2024 How developers use AI-assisted development tools MORE 1 December 2023 Measuring developer productivity MORE 1 December 2023 Which content types do developers value? MORE 1 October 2023 How developers integrate generative AI into their apps MORE 1 July 2023 Who's integrating sustainable software engineering principles? MORE 1 July 2023 Concerns, challenges, and use of third-part APIs MORE 1 June 2023 Desktop developers population forecast MORE 1 March 2023 A spotlight on blockchain developers MORE 1 March 2023 Observability in software development MORE 1 February 2023 Applications and shift-left security MORE 1 December 2022 Emerging practices in MLops / DataOps MORE Dive into the trends Developer Ecosystem Insights is a collection of reports, focused on analysing and sharing insights and trends across these development areas: Web apps, Mobile apps, Desktop apps, Cloud / backend services, AR/VR, Games, IoT, ML/AI & Data Science, Embedded software, Apps/extensions for 3rd-party platforms, DevOps and more! The insights Developer Ecosystem Insights offer key insights on: Who and where developers are How to reach developers What motivates developers Developer communities How they are expected to evolve. What it answers SlashData’s Developer Ecosystem Insights offer key insights on: Developer Language usage and communities Where developers go for information What types of content do developers prefer The landscape of a technology area (ie Blockchain) Challenges/friction points in a specific technology area (ie Challenges in multi-cloud or Challenges in using 3rd party APIs) Population sizing Do you want to effectively talk to developers in a specific sector or understand their needs? LET'S TALK

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Key Questions Answered What are the current sizes of the leading programming language communities? Which languages are growing the fastest, and how do they rank relative to each other? How do language choices and preferences shift with more experience? Click to expand ACCESS THE FULL REPORT Methodology The 31th edition of the Developer Nation survey reached more than 11,500 respondents from 95 countries around the world. This research report series delves into key developer trends for Q1 2026 and beyond. Contact us First name* Last name* Work Email* Company * Role* Message I agree to SlashData's Privacy Policy and I want to be contacted * SUBMIT All Reports Questions? Let's talk! Fill the form. Natasa and Petro will help you drive developer adoption: Name Email I have read and agree to SlashData's Privacy Policy and I want to be contacted. GET IN TOUCH WITH ME Frequently asked questions (F.A.Q.) Who benefits from these reports? Leaders who need to: Make or defend a high-stakes decision Secure budget Enter a market Reposition a product Prove ROI Reduce uncertainty Build a high-adoption product roadmap If you’re under pressure to justify a strategic move with evidence, that’s where our insights help most. What makes SlashData different from other research providers? We focus on developers as the deciders of the future. They are the early adopters and signal the trends to come. Our methodology is rigorous and airtight, ensuring our data is of the highest quality and exceeds industry standards. Our research connects: Developer awareness, adoption, usage and satisfaction Feature importance and pricing sensitivity Competitive positioning and switching behaviour So you don’t just get numbers. You get decision context: what the data means for your roadmap, budget, or go-to-market. How reliable is the data? We run large-scale, independent, global developer research surveys with consistent methodology across waves. Our methodology is rigorous both at clearing our fraudulent (or inaccurate) data and in weighting for proper distribution and reduced margin of error. We take pride in our supreme data quality, and we can prove it. Our results are defensible evidence you can take to an exec review without thinking twice. Can this support a business case or budget proposal? Yes. Many clients use our data to: Justify entering a new developer segment Prioritise features based on quantified demand Secure budget for DevRel, AI tooling, or marketing Validate pricing or packaging changes We translate population estimates and sentiment data into clear, actionable foresight, not charts. How do you ensure credibility with our executive team? We take pride in our rigorous methodology. Our work is: Global and independent Methodologically rigorous Focused on clean data Transparent in assumptions Clear about weighting and limitations. We are confident our insights can stand up to any CXO or Board scrutiny. Do you replace internal research or complement it? We complement it. Internal Analytics tells you what your users are doing. We tell you what the market is doing, including non-users and competitor users. That combination gives you: Internal performance clarity External positioning confidence Together, it reduces blind spots and uncovers opportunities I don’t see my company/product on the list. Can you benchmark us against our competitors? Most probably yes. Even if you don’t see your product in a report, we can pull extensive data for you on awareness, trial, usage, satisfaction, and feature perception. Please get in touch and we can dive in it together. Is this relevant if we sell AI tooling? Absolutely. For AI vendors, we support: Developer adoption tracking Productivity gains Tool benchmarking on awareness, engagement and more Enterprise buying criteria insights Security and compliance sentiment ROI perception We help you understand both AI tool builders demand and buying friction. How long do projects typically take? It depends on complexity. Some projects are focused and fast. Others involve deeper segmentation or spread across multiple geographies. Depending on the request, we will share a roadmap early on so you know when to expect what. Sizing programming language communities How many developers are using each programming language in Q1 2026 Access the Full Report About this Report Programming languages sit at the heart of the software development ecosystem. These languages do more than provide syntax for logic; they define the boundaries of developer ecosystems, dictate the availability of talent, and determine the long-term viability of platform integrations. For product executives and engineering leaders, monitoring the ebb and flow of these communities is a strategic necessity. Selecting which languages to prioritise for SDKs, APIs, and documentation is a high-stakes decision that directly impacts a platform’s friction, reach, and eventual market share. Beyond technical utility, languages are a primary source of professional identity and a frequent catalyst for industry-wide debate. For toolmakers and vendors, staying synchronised with these shifting preferences is essential to maintaining credibility and fostering deep, sustained engagement with the people building the future. However, quantifying these communities with precision is a complex undertaking. Our methodology relies on the synthesis of two robust data pillars: Global Population Modelling: Our proprietary, independent estimate of the total software developer population, a metric we have refined and tracked for nearly a decade. The Developer Nation Survey: Our biannual, large-scale research programme that captures the pulse of tens of thousands of practitioners worldwide.

Industry and technology market reports that are free to access and download and share key insights on the trending technology and software development trends. Insights with instant access for your decision-making . Analyst insights powered by developers around the world. Each insights report dives into a key trending topic. Explore our latest research 21 April 2026 AI in the Developer Workflow MORE 20 April 2026 Sizing programming language communities MORE 17 April 2026 The AI ROI Measurement Gap MORE 2 April 2026 Where developers go to learn, connect, and stay informed? MORE 31 March 2026 State of Cloud Native Development Q1 2026 MORE 25 March 2026 CNCF Technology Radar Q1 2026 MORE 11 December 2025 AI Coding Tools Benchmark MORE 20 November 2025 Developers in the age of AI MORE 14 November 2025 Barriers to integrating generative AI in applications MORE 14 November 2025 The state of agentic AI adoption in software projects MORE 14 November 2025 Choosing the right AI coding tools for your team MORE 11 November 2025 CNCF Technology Radar Q3 2025 MORE 10 November 2025 State of Cloud Native Development Q3 2025 MORE 21 October 2025 The State of FinOps in 2025 MORE 21 October 2025 Sizing programming language communities MORE 21 October 2025 Benchmarking backend and cloud technology strategies MORE 12 September 2025 2025 Cloud Landscape in Europe and the US MORE 7 May 2025 Usage of AI assistance between DORA performance groups MORE 7 May 2025 Challenges organisations face in software development projects MORE 6 May 2025 The developers behind generative AI applications MORE 6 May 2025 Sizing programming language communities MORE 6 May 2025 How and why developers engage with emerging technologies MORE 6 May 2025 How technology practitioners use social media MORE 16 April 2025 The state of cloud operations and management in 2025 and the impact of AI MORE 4 April 2025 CNCF Technology Radar MORE 10 March 2025 Generative AI for Business: Success, Challenges and the Future MORE 11 February 2025 State of Development Environments MORE 1 December 2024 Profiling of technology professionals working at startups MORE 29 November 2024 CNCF Technology Landscape Radar MORE 1 November 2024 The rise of AI-chatbots for problem-solving MORE 1 November 2024 Network APIs: The new oil in the 5G economy MORE 1 November 2024 Sizing programming language communities Q3 2024 MORE 1 November 2024 What developers think about their teams MORE 1 November 2024 How developers build AI-enabled applications MORE 1 May 2024 How and why developers engage with emerging technologies MORE 1 May 2024 Threats in software supply chain management MORE 1 May 2024 How happy are developers with their jobs? MORE 1 May 2024 How developers interact with AI technologies MORE 1 May 2024 Profiling of new ML/AI developers MORE 1 May 2024 Sizing programming language communities Q1 2024 MORE 1 April 2024 State of Continuous Integration and Continuous Delivery Report 2024 MORE 13 March 2024 How Silicon Developers help developers build AI solutions MORE 1 February 2024 Maturity of Software Supply Chain Security Practices 2024 MORE 1 November 2023 25th edition - State of the Developer Nation MORE 1 September 2023 Developer Perceptions of Distributed Cloud MORE 1 September 2023 The State of WebAssembly 2023 MORE 1 July 2023 Designing for success MORE 1 June 2023 2023 state of data management solutions for digital natives MORE 1 June 2023 The state of developer happiness MORE 1 May 2023 24th edition - State of the Developer Nation MORE 1 May 2023 State of Continuous Delivery Report 2023 MORE 1 May 2023 Building and Developing on Salesforce Report 2023 MORE 1 February 2023 Securing the enterprise MORE 1 November 2022 NGINX State of App and API Delivery Report MORE 1 November 2022 Developers & Shift-left Security MORE 1 October 2022 23rd edition - State of the Developer Nation MORE Can’t find what you are looking for? Get in touch and we will be happy to help LET'S TALK Case Studies Explore real life scenarios, and how we helped our clients access key market information. We include the process, what SlashData brought to the table and the results they achieved. CASE STUDIES

Key Questions Answered What tasks are developers using AI tools to assist them with? How much of each task are developers handing over to AI tools? Which tasks do developers trust and rely on AI tooling for? Which tasks are the current suite of AI tooling falling short? Click to expand ACCESS THE FULL REPORT Methodology The 31th edition of the Developer Nation survey reached more than 11,500 respondents from 95 countries around the world. This research report series delves into key developer trends for Q1 2026 and beyond. Contact us First name* Last name* Work Email* Company * Role* Message I agree to SlashData's Privacy Policy and I want to be contacted * SUBMIT All Reports Questions? Let's talk! Fill the form. Natasa and Petro will help you drive developer adoption: Name Email I have read and agree to SlashData's Privacy Policy and I want to be contacted. GET IN TOUCH WITH ME Frequently asked questions (F.A.Q.) Who benefits from these reports? Leaders who need to: Make or defend a high-stakes decision Secure budget Enter a market Reposition a product Prove ROI Reduce uncertainty Build a high-adoption product roadmap If you’re under pressure to justify a strategic move with evidence, that’s where our insights help most. What makes SlashData different from other research providers? We focus on developers as the deciders of the future. They are the early adopters and signal the trends to come. Our methodology is rigorous and airtight, ensuring our data is of the highest quality and exceeds industry standards. Our research connects: Developer awareness, adoption, usage and satisfaction Feature importance and pricing sensitivity Competitive positioning and switching behaviour So you don’t just get numbers. You get decision context: what the data means for your roadmap, budget, or go-to-market. How reliable is the data? We run large-scale, independent, global developer research surveys with consistent methodology across waves. Our methodology is rigorous both at clearing our fraudulent (or inaccurate) data and in weighting for proper distribution and reduced margin of error. We take pride in our supreme data quality, and we can prove it. Our results are defensible evidence you can take to an exec review without thinking twice. Can this support a business case or budget proposal? Yes. Many clients use our data to: Justify entering a new developer segment Prioritise features based on quantified demand Secure budget for DevRel, AI tooling, or marketing Validate pricing or packaging changes We translate population estimates and sentiment data into clear, actionable foresight, not charts. How do you ensure credibility with our executive team? We take pride in our rigorous methodology. Our work is: Global and independent Methodologically rigorous Focused on clean data Transparent in assumptions Clear about weighting and limitations. We are confident our insights can stand up to any CXO or Board scrutiny. Do you replace internal research or complement it? We complement it. Internal Analytics tells you what your users are doing. We tell you what the market is doing, including non-users and competitor users. That combination gives you: Internal performance clarity External positioning confidence Together, it reduces blind spots and uncovers opportunities I don’t see my company/product on the list. Can you benchmark us against our competitors? Most probably yes. Even if you don’t see your product in a report, we can pull extensive data for you on awareness, trial, usage, satisfaction, and feature perception. Please get in touch and we can dive in it together. Is this relevant if we sell AI tooling? Absolutely. For AI vendors, we support: Developer adoption tracking Productivity gains Tool benchmarking on awareness, engagement and more Enterprise buying criteria insights Security and compliance sentiment ROI perception We help you understand both AI tool builders demand and buying friction. How long do projects typically take? It depends on complexity. Some projects are focused and fast. Others involve deeper segmentation or spread across multiple geographies. Depending on the request, we will share a roadmap early on so you know when to expect what. AI in the Developer Workflow High adoption, uneven trust, and the tasks current tools haven't solved Access the Full Report About this Report Generative AI has entered the developer toolkit, but how deeply has it actually embedded itself into the work? This report examines how developers are using AI across their workflows: which tasks they are turning to AI for, how much of each task they are willing to hand over, and where the gap between adoption and reliance reveals the limits of current tooling. Drawing on survey data from developers actively using AI-assisted software development tools, the findings move beyond headline adoption figures to examine the texture of AI use across more than a dozen distinct development tasks. The result is a more honest picture of where AI is genuinely accelerating developer work, where it has found a willing audience for tasks developers are happy to offload, and where capability gaps are suppressing the trust needed for deeper reliance. For organisations evaluating or expanding AI tool adoption, the data offers a practical lens for calibrating expectations, informing governance, and identifying where human oversight remains essential. For those building the next generation of AI developer tools, it maps the frontier clearly: the tasks with high demand and low trust are not side thoughts; they should be the roadmap.

Call it webinars or sessions, our on-demand videos bring our analyst experts to the spotlight. In these videos, they share their experience and explain what the insights from our latest research mean for the industry and the professionals in it. Developer research webinars by experts Call it webinars or sessions, our on-demand videos bring our analyst experts to the spotlight. In these videos, they share their experience and explain what the insights from our latest research mean for the industry and the professionals in it. Come dive deeper with us into the latest trends and look inside developers’ hearts. Sign up for our newsletter to be notified of future events. COUNT ME IN 31 March 2026 AI developer tools usage and measuring ROI New data on AI usage and measuring AI ROI, based on software developers. Access data that will be published in Q2, and will be presented first in this webinar. 24 March 2026 Liam Bollmann-Dodd (SlashData( & Bob Killen (CNCF) In this interview from KubeCon , they discuss how the cloud-native ecosystem has quietly grown to nearly 20 million developers — and why most of them have never touched Kubernetes directly. Killen unpacks findings from the latest State of Cloud Native report, explaining how the roughly 30% growth reflects not new tooling adoption but a fundamental shift in who qualifies as a cloud-native developer. Bollman-Dodd reinforces this point, noting that AI workloads have made cloud-native infrastructure a de facto requirement rather than a deliberate architectural choice. 30 September 2025 The Future of Cloud: European Opportunities in a US-Dominated Market Discover why European cloud is on the rise and what it means for your business. Our experts will unpack data sovereignty, security, cost transparency, and real-world challenges, while sharing how European providers like UpCloud help organizations stay innovative, compliant, and future-ready. Get actionable insights on cloud adoption, infrastructure, and emerging trends in the cloud landscape all in one engaging session. 14 May 2025 Artificial Intelligence in Tech: usage, adoption and challenges in 2025 A 360 look at Artificial Intelligence - with data! During this session, you get access to exclusive market research insights on: 1. Those who build AI-enabled applications 2. How enterprise users of these applications apply them to their everyday work 24 April 2025 Global developer population trends 2025 - How many developers are there? In this live session we look at 2025 market research data to understand: - The growth of the developer population in the past years - The developer population breakdown by professional status - The developer population breakdown by region and industry vertical - The developer population breakdown by programming language community - The developer population breakdown by company size 5 March 2025 How tech professionals use AI chatbots for problem-solving & why Network APIs are the new oil How much traction have AI chatbots gained over the last six months in the technology industry? What does the developer adoption and implementation of network APIs look like? 4 March 2025 Insights from the Radar: Exploring trends & ecosystem gaps from the CNCF AI & Multicluster radar report Exploring Multicluster Application Management and Batch/AI/ML Compute Technologies, with expert insights from Bob Killen (Cloud Native Computing Foundation (CNCF)) and Liam Bollmann-Dodd (SlashData). 25 June 2024 How happy are developers with their jobs? We investigate developers' satisfaction in their current job: in what contexts developers feel satisfied and what are some of the work-related factors that are associated with greater workplace contentment. 21 February 2024 Developer Program Leaders: Main Challenges in Developer Relations Access data and insights to better understand developer programs, relations, advocacy and tooling professionals and their challenges. 26 January 2024 Could the distributed cloud be a game-changer? (Hosted on TFiR) What is driving the adoption of distributed cloud? Check out an in-depth discussion to the data Akamai shares in 2 studies with Liam Dodd, Data Storyteller, SlashData and John Garrett. 27 October 2023 Making your developer community work for you and for your developers | Developer Program Leaders In this session, we look at the results of the 9th Developer Program Leaders survey and look at how you can make the best of your developer community, both for the developers and your organisation. 30 June 2023 Which developers are working on Generative AI projects? In this session, we will look at what developers have to say about working on Generative AI projects. 27 June 2023 Best practices, decision drivers and the future of data management solutions In this fireside chat, we will combine research and action to bring you the best practices on data management for digital natives. We will discuss sustainability, pricing, the importance of open source and scaling. 19 May 2023 Developer Program Leaders Forum | Presentation, Discussion | Data-powered strategic decisions/DevRel After the Developer Program Leaders survey closed, we want to offer you and the rest of the community access to data, allowing for data-backed decisions to make your developer program aligned with developers’ priorities and make them want to keep coming back! 31 March 2023 The state of Blockchain Development In this short session, we present the latest insights available on blockchain development from the latest edition of our free State of the Developer Nation Report. 30 November 2022 Developers' expectations from employers What makes developers leave their job? What would make them stay? 7 July 2022 Who is using low-code and no-code tools? This is a lightning Session from developer analysts at SlashData. We focus on low-code and no-code tools, who is using them and how LCNC usage changes with experience and region. 2 November 2021 How and where to engage with developers (Guest: StackOverflow) In this collaborative Session, SlashData will be talking about developer communities, sharing the latest available insights from our global survey. We’ll be looking at where developers go to seek information, what types of information they’re looking for, and the support and interaction they expect from the community and vendors. Stack Overflow will present how to use developer community. 2 November 2021 Machine Learning, Artificial Intelligence, Data Science developers & their data In this session, we look into Machine Learning, Artificial Intelligence and Data Scientists and the data they work with. The results shown come from our latest Q1 2021 survey wave and the responses of 19,000+ developers. 28 July 2021 The inside view on running a Developer Program In this session, you will access direct insights on how professionals run their developer program. 3 April 2020 Segmenting Developers into personas Developers come in all shapes and sizes. Whether you group them by the technologies they use, their coding background, their professional status, their demographics or their motivations, the conclusion is the same. The developer population is not a single homogeneous mass that may be expected to behave in a coherent way. 3 March 2020 Developer personas and psychographics Understanding the psychographics of your developer audiences is key in building effective communication channels with them. We’ll show you how psychographic profiles differ across development sectors (such as web, augmented reality, and machine learning), age groups, roles, and more.

Key Questions Answered What share of technology leaders are using AI-assisted tools? What share of those using AI-assisted tools are measuring their value or ROI? How is the AI ROI structured in terms of maturity, and how does that differ based on company size? How does AI ROI maturity level affect technology leaders’ evaluation of AI assistance? Click to expand ACCESS THE FULL REPORT Methodology The 31th edition of the Developer Nation survey reached more than 11,500 respondents from 95 countries around the world. This research report series delves into key developer trends for Q1 2026 and beyond. Contact us First name* Last name* Work Email* Company * Role* Message I agree to SlashData's Privacy Policy and I want to be contacted * SUBMIT All Reports Questions? Let's talk! Fill the form. Natasa and Petro will help you drive developer adoption: Name Email I have read and agree to SlashData's Privacy Policy and I want to be contacted. GET IN TOUCH WITH ME Frequently asked questions (F.A.Q.) Who benefits from these reports? Leaders who need to: • Make or defend a high-stakes decision • Secure budget • Enter a market • Reposition a product • Prove ROI • Reduce uncertainty • Build a high-adoption product roadmap If you’re under pressure to justify a strategic move with evidence, that’s where our insights help most. What makes SlashData different from other research providers? We focus on developers as the deciders of the future. They are the early adopters and signal the trends to come. Our methodology is rigorous and airtight, ensuring our data is of the highest quality and exceeds industry standards. Our research connects: • Developer awareness, adoption, usage and satisfaction • Feature importance and pricing sensitivity • Competitive positioning and switching behaviour So you don’t just get numbers. You get decision context: what the data means for your roadmap, budget, or go-to-market. How reliable is the data? We run large-scale, independent, global developer research surveys with consistent methodology across waves. Our methodology is rigorous both at clearing our fraudulent (or inaccurate) data and in weighting for proper distribution and reduced margin of error. We take pride in our supreme data quality, and we can prove it. Our results are defensible evidence you can take to an exec review without thinking twice. Can this support a business case or budget proposal? Yes. Many clients use our data to: • Justify entering a new developer segment • Prioritise features based on quantified demand • Secure budget for DevRel, AI tooling, or marketing • Validate pricing or packaging changes We translate population estimates and sentiment data into clear, actionable foresight, not charts. How do you ensure credibility with our executive team? We take pride in our rigorous methodology. Our work is: • Global and independent • Methodologically rigorous • Focused on clean data • Transparent in assumptions Clear about weighting and limitations. We are confident our insights can stand up to any CXO or Board scrutiny. Do you replace internal research or complement it? We complement it. Internal Analytics tells you what your users are doing. We tell you what the market is doing, including non-users and competitor users. That combination gives you: • Internal performance clarity • External positioning confidence Together, it reduces blind spots and uncovers opportunities I don’t see my company/product on the list. Can you benchmark us against our competitors? Most probably yes. Even if you don’t see your product in a report, we can pull extensive data for you on awareness, trial, usage, satisfaction, and feature perception. Please get in touch and we can dive in it together. Is this relevant if we sell AI tooling? Absolutely. For AI vendors, we support: • Developer adoption tracking • Productivity gains • Tool benchmarking on awareness, engagement and more • Enterprise buying criteria insights • Security and compliance sentiment • ROI perception We help you understand both AI tool builders demand and buying friction. How long do projects typically take? It depends on complexity. Some projects are focused and fast. Others involve deeper segmentation or spread across multiple geographies. Depending on the request, we will share a roadmap early on so you know when to expect what. The AI ROI Measurement Gap Why most engineering teams can’t prove their AI investment pans out Access the Full Report About this Report Artificial intelligence (AI) has long been embedded in technology organisations, powering systems such as search engines, recommendation algorithms, and fraud detection tools. However, it is now far more visible and strategically prioritised, with generative AI chatbots, coding assistants, and enterprise automation tools bringing it to the centre of business planning. As AI investment scales, a new pressure is emerging: the need to justify it. Boards want evidence, finance teams want numbers, and developers caught in the middle are discovering that believing AI works and being able to prove it are two very different things. This report examines how developers in leadership roles – hereinafter referred to as technology leaders – are experiencing and evaluating AI value today. We examine how they rate what it delivers, whether they measure it, and how rigorous those measurements are. The findings are drawn from 2,341 professional developers working in leadership positions in SlashData’s 31st global developer survey. This report provides an overview of the headline findings. For a full deep dive, including breakdowns by role, sector, region, and agentic AI maturity level, see the full report, The state of AI ROI measurement in software teams.

Key Questions Answered How many cloud native developers are there in Q3 2025? How many cloud native backend developers are there in Q3 2025? How many ML/AI developers are cloud native in Q3 2025? What are the most popular cloud deployment options in Q3 2025, and how has this changed over time? What are the most common cloud native technologies backend developers use? What are the most common cloud technologies in use? Click to expand ACCESS THE FULL REPORT Methodology The report is based on data collected from the 30th edition of the Developer Nation survey edition of the Developer Nation survey, a large-scale, online developer survey that was designed, hosted, and fielded by SlashData over a period of ten weeks between June 2025 and July 2025. Contact us First name* Last name* Work Email* Company * Role* Message I agree to SlashData's Privacy Policy and I want to be contacted * SUBMIT All Reports Questions? Let's talk! Fill the form. Natasa and Petro will help you drive developer adoption: Name Email I have read and agree to SlashData's Privacy Policy and I want to be contacted. GET IN TOUCH WITH ME Frequently asked questions (F.A.Q.) Who benefits from these reports? Leaders who need to: • Make or defend a high-stakes decision • Secure budget • Enter a market • Reposition a product • Prove ROI • Reduce uncertainty • Build a high-adoption product roadmap If you’re under pressure to justify a strategic move with evidence, that’s where our insights help most. What makes SlashData different from other research providers? We focus on developers as the deciders of the future. They are the early adopters and signal the trends to come. Our methodology is rigorous and airtight, ensuring our data is of the highest quality and exceeds industry standards. Our research connects: • Developer awareness, adoption, usage and satisfaction • Feature importance and pricing sensitivity • Competitive positioning and switching behaviour So you don’t just get numbers. You get decision context: what the data means for your roadmap, budget, or go-to-market. How reliable is the data? We run large-scale, independent, global developer research surveys with consistent methodology across waves. Our methodology is rigorous both at clearing our fraudulent (or inaccurate) data and in weighting for proper distribution and reduced margin of error. We take pride in our supreme data quality, and we can prove it. Our results are defensible evidence you can take to an exec review without thinking twice. Can this support a business case or budget proposal? Yes. Many clients use our data to: • Justify entering a new developer segment • Prioritise features based on quantified demand • Secure budget for DevRel, AI tooling, or marketing • Validate pricing or packaging changes We translate population estimates and sentiment data into clear, actionable foresight, not charts. How do you ensure credibility with our executive team? We take pride in our rigorous methodology. Our work is: • Global and independent • Methodologically rigorous • Focused on clean data • Transparent in assumptions Clear about weighting and limitations. We are confident our insights can stand up to any CXO or Board scrutiny. Do you replace internal research or complement it? We complement it. Internal Analytics tells you what your users are doing. We tell you what the market is doing, including non-users and competitor users. That combination gives you: • Internal performance clarity • External positioning confidence Together, it reduces blind spots and uncovers opportunities I don’t see my company/product on the list. Can you benchmark us against our competitors? Most probably yes. Even if you don’t see your product in a report, we can pull extensive data for you on awareness, trial, usage, satisfaction, and feature perception. Please get in touch and we can dive in it together. Is this relevant if we sell AI tooling? Absolutely. For AI vendors, we support: • Developer adoption tracking • Productivity gains • Tool benchmarking on awareness, engagement and more • Enterprise buying criteria insights • Security and compliance sentiment • ROI perception We help you understand both AI tool builders demand and buying friction. How long do projects typically take? It depends on complexity. Some projects are focused and fast. Others involve deeper segmentation or spread across multiple geographies. Depending on the request, we will share a roadmap early on so you know when to expect what. State of Cloud Native Development Q3 2025 Approximations of the cloud-native developer population in backend services, machine learning or AI, and throughout the entire developer population Access the Full Report About this Report This report, based on the 30th edition of SlashData’s Developer National survey, explores the current state and scale of cloud native development in Q3 2025. The report provides approximations of the cloud-native developer population in backend services, machine learning or AI, and throughout the entire developer population. The report also provides information on the popularity of different cloud native technologies or approaches among backend developers, to reveal the sophistication path organisations often go through. In addition, the report explores the trends in cloud deployment approaches, as well as the technologies that developers are using in their backend or cloud development processes and services. We also provide estimates for the proportion of cloud nativeness throughout the range of types of development (e.g. mobile, desktop, DevOps, etc.).

Key Questions Answered Which social media platforms do developers prefer for learning? Which social media platforms do developers prefer for keeping up to date? Which social media platforms do developers prefer for problem-solving? Which social media platforms do developers prefer for engaging with peers? Which social media platforms do developers prefer for research? How do these preferences vary across developer demographics, such as experience, role, and region? Click to expand ACCESS THE FULL REPORT Methodology The 31th edition of the Developer Nation survey reached more than 11,500 respondents from 95 countries around the world. This research report series delves into key developer trends for Q1 2026 and beyond. Contact us First name* Last name* Work Email* Company * Role* Message I agree to SlashData's Privacy Policy and I want to be contacted * SUBMIT All Reports Questions? Let's talk! Fill the form. Natasa and Petro will help you drive developer adoption: Name Email I have read and agree to SlashData's Privacy Policy and I want to be contacted. GET IN TOUCH WITH ME Frequently asked questions (F.A.Q.) Who benefits from these reports? Leaders who need to: • Make or defend a high-stakes decision • Secure budget • Enter a market • Reposition a product • Prove ROI • Reduce uncertainty • Build a high-adoption product roadmap If you’re under pressure to justify a strategic move with evidence, that’s where our insights help most. What makes SlashData different from other research providers? We focus on developers as the deciders of the future. They are the early adopters and signal the trends to come. Our methodology is rigorous and airtight, ensuring our data is of the highest quality and exceeds industry standards. Our research connects: • Developer awareness, adoption, usage and satisfaction • Feature importance and pricing sensitivity • Competitive positioning and switching behaviour So you don’t just get numbers. You get decision context: what the data means for your roadmap, budget, or go-to-market. How reliable is the data? We run large-scale, independent, global developer research surveys with consistent methodology across waves. Our methodology is rigorous both at clearing our fraudulent (or inaccurate) data and in weighting for proper distribution and reduced margin of error. We take pride in our supreme data quality, and we can prove it. Our results are defensible evidence you can take to an exec review without thinking twice. Can this support a business case or budget proposal? Yes. Many clients use our data to: • Justify entering a new developer segment • Prioritise features based on quantified demand • Secure budget for DevRel, AI tooling, or marketing • Validate pricing or packaging changes We translate population estimates and sentiment data into clear, actionable foresight, not charts. How do you ensure credibility with our executive team? We take pride in our rigorous methodology. Our work is: • Global and independent • Methodologically rigorous • Focused on clean data • Transparent in assumptions Clear about weighting and limitations. We are confident our insights can stand up to any CXO or Board scrutiny. Do you replace internal research or complement it? We complement it. Internal Analytics tells you what your users are doing. We tell you what the market is doing, including non-users and competitor users. That combination gives you: • Internal performance clarity • External positioning confidence Together, it reduces blind spots and uncovers opportunities I don’t see my company/product on the list. Can you benchmark us against our competitors? Most probably yes. Even if you don’t see your product in a report, we can pull extensive data for you on awareness, trial, usage, satisfaction, and feature perception. Please get in touch and we can dive in it together. Is this relevant if we sell AI tooling? Absolutely. For AI vendors, we support: • Developer adoption tracking • Productivity gains • Tool benchmarking on awareness, engagement and more • Enterprise buying criteria insights • Security and compliance sentiment • ROI perception We help you understand both AI tool builders demand and buying friction. How long do projects typically take? It depends on complexity. Some projects are focused and fast. Others involve deeper segmentation or spread across multiple geographies. Depending on the request, we will share a roadmap early on so you know when to expect what. Where developers go to learn, connect, and stay informed? Exploring social media platform choices across key developer workflows Access the Full Report About this Report Social media is undeniably a central infrastructure layer of daily life, and the developer ecosystem is no exception. It shapes how knowledge spreads, communities form, and professional identities are built. Yet, not all platforms serve the same purpose. In this report, we map where developers go across five distinct use cases: learning, problem-solving, keeping up to date, engaging with community and peers, and research. Drawing on responses from around 3,000 developers who use social media to find information about software development and stay current, the findings reveal a fragmented but structured landscape. It is one in which platform choices are strongly shaped by the nature of the task at hand as well as developer characteristics such as experience, role, and region. This report is designed to be actionable for a broad range of teams, including DevRel, marketing, and content, offering a practical foundation for channel strategy: knowing not just where developers spend time but what they are trying to accomplish when they get there.

How SlashData helped the CD Foundation uncover DevOps adoption trends, performance impacts, and the value of CI/CD tools. All Case Studies Insights on DevOps: How SlashData helped the CD Foundation understand CI/CD adoption and performance The challenge The Continuous Delivery (CD) Foundation approached SlashData to gain a deeper of the current adoption rates of DevOps practices. Their goal was to explore the impact of DevOps on development velocity and performance while assessing the role of CD tools and practices in driving efficiency and success. The approach Using data from SlashData’s syndicated developer survey, we collaborated with the CD Foundation to align the research with their strategic priorities for the upcoming year. SlashData’s long-running survey provided access to historical data trends spanning several years, enabling the CD Foundation to benchmark current adoption rates and identify year-over-year changes in DevOps practices. The result was a tailored analysis focused on uncovering actionable insights into CI/CD usage and its impact. The result SlashData delivered the 5th edition of the State of CI/CD report , a public report marketed by the CD Foundation and SlashData in Q2 2024. The report highlighted key trends contributing to low DevOps adoption rates among newer developers, a clear link between the usage of a broad range of DevOps technologies and improved developer performance, and a correlation between the usage of CI/CD and great development and deployment performance. Why SlashData SlashData has been tracking developer behaviours, tool uses, and perceptions for multiple years, getting results at least every six months. This gives us a unique advantage in being able to track changes and developments over the years and continuously monitor the impacts of technology adoption and DevOps practices. Partner with SlashData to uncover what drives developer success and technology adoption across industries. Contact us today! You can find all our data & free industry reports in our Research Space . Related services Quantitative Developer research Previous Case Next Case Get all the new insights in your inbox JOIN NEWSLETTER Talk to our analysts TALK TO US Frequently asked questions (F.A.Q.) What happens after I get in touch? You’ll speak to Natasa or Petro. Both understand developers and their impact on product, marketing, DevRel, and architecture pressures. The first conversation focuses on: • The decision you’re trying to make • The risk you’re managing • The timeline you’re under We’ll clarify whether we can help and how. Is this a pitch? No. If there’s a fit, we’ll propose a clear path forward. If there isn’t, we’ll say so. Our reputation depends on long-term credibility and partnership, not short-term contracts. Who should contact you? Leaders who need to: • Make or defend a high-stakes decision • Secure budget • Enter a market • Reposition a product • Prove ROI • Reduce uncertainty • Build a high-adoption product roadmap If you’re under pressure to justify a strategic move with evidence, that’s where we help most. Do I need a detailed brief? No. Most teams come to us with: • A specific problem at hand • A broad question • A need for proof to validate a decision • Roadmap uncertainty We will ask questions to better understand your needs and explain how we can help. Is this suitable only for enterprise teams? We work with global developer-first technology companies, but the key factor is decision impact, not size. If you need validation and clarity for: • Strategic direction • Budget allocation • New market exploration • AI adoption • Developer audience growth We have multiple ways we can help, and it’s worth a conversation. What budget range should we expect? Your budget investment depends on several factors, including: • Scope and geography • Depth of segmentation • Custom research vs existing data • Advisory layer required We are transparent about cost early. There are no surprises. Can you work alongside our internal research or analytics teams? Yes, and it’s common for us to do. We provide • Provide external market validation • Pressure-test internal assumptions • Fill blind spots in competitor or non-user insight The goal is alignment and clarity, so we work on projects together. How do you ensure credibility with our executive team? We take pride in our rigorous methodology. Our work is: • Global and independent • Methodologically rigorous • Focused on clean data • Transparent in assumptions Clear about weighting and limitations. We are confident our insights can stand up to any CXO or Board scrutiny. What if we’re still early in exploring AI strategy or developer growth? Then you better get started on the right foot. We can get you early clarity on: • Segment size • Adoption barriers • Buying criteria • Competition mapping & benchmarks All these can prevent later expensive missteps.