This report explores the underlying trends behind the growth of the machine learning (ML) developer population worldwide (including developers involved in machine learning, artificial intelligence, and data science projects). We start by exploring the global population of ML developers over the past year and a half and breaking down the population by geographical location. Then, we look at the total ML developer population, broken down by professional status and categories of applications built. Finally, we investigate the size of the global market for specific programming languages, ML frameworks/libraries, and architectures used to train and deploy solutions. All Insights ML developer population forecast How many ML developers are there? Access the Full Preview About this Report This report explores the underlying trends behind the growth of the machine learning (ML) developer population worldwide (including developers involved in machine learning, artificial intelligence, and data science projects). We start by exploring the global population of ML developers over the past year and a half and breaking down the population by geographical location. Then, we look at the total ML developer population, broken down by professional status and categories of applications built. Finally, we investigate the size of the global market for specific programming languages, ML frameworks/libraries, and architectures used to train and deploy solutions. Key Questions Answered How many ML developers are out there? Who exactly are these ML developers, and in what capacity are they involved in this space? Where are ML developers located? What are ML developers working on? - What are ML developers working with? Click to expand ACCESS THE FULL PREVIEW Methodology To estimate the number of developers, we use an independent, bottom-up methodology. The data we use to arrive at the estimates in this report comes from: 1. Reliably measured numbers of developers or direct indicators of their activity: GitHub accounts and repositories, Stack Overflow accounts, and employment statistics from the USA and the European Union. 2. Our proprietary developer survey data, i.e., measured developer behaviour. For this report, we used data from 20,000+ ML developers across four consecutive surveys. 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? How reliable is the data? Can this support a business case or budget proposal? How do you ensure credibility with our executive team? Do you replace internal research or complement it? I don’t see my company/product on the list. Can you benchmark us against our competitors? Is this relevant if we sell AI tooling? How long do projects typically take? 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

This report is based on data collected from over 16,500 developers who answered questions about incorporating generative AI functionality into their applications in the 25th edition of our Developer Nation survey, which was fielded in Q3 2023. How developers integrate generative AI into their apps Approaches, use cases, challenges, and cloud services used Access the Full Preview All Insights About this Report This report is based on data collected from over 16,500 developers who answered questions about incorporating generative AI functionality into their applications in the 25th edition of our Developer Nation survey, which was fielded in Q3 2023. Key Questions Answered What percentage of developers have added generative AI features to their applications, and how many are interested? Do developers need to be AI or machine learning experts to create generative AI experiences? How does company size influence the choice of incorporation methods of generative AI functionality? What are the biggest challenges developers face when integrating generative AI functionality into their applications? Which cloud services do developers use the most for integrating generative AI into their applications? Click to expand ACCESS THE FULL PREVIEW Methodology While the idea of generative artificial intelligence (AI) is not new, a lot of progress has been made over the past few years that has made it highly desirable for both end users and software developers. The aim of this report is to provide an overview of the current state of integration of generative AI functionality by developers into their applications. We will begin by investigating the extent to which developers have started incorporating generative AI functionality into their applications, and how this differs across regions and companies of different sizes. Following this, we will explore the different methods developers use to integrate generative AI functionality into their applications, as well as the use cases they target and the challenges they are faced with. Finally, we will look at which fully-managed generative AI services are currently used the most by developers in this space. 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? How reliable is the data? Can this support a business case or budget proposal? How do you ensure credibility with our executive team? Do you replace internal research or complement it? I don’t see my company/product on the list. Can you benchmark us against our competitors? Is this relevant if we sell AI tooling? How long do projects typically take? 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

Track adoption, market share and satisfaction All Reports AI-assisted coding tools Competitive Technology Landscape Report Q3 2025 Track adoption, market share and satisfaction Access the Full Report About this Report What is the AI-assisted coding tools Competitive Technology Landscape? In our AI-assisted coding tools Competitive Technology Landscape report, we benchmark the main competing AI-assisted coding tools based on the responses of over 1,700 developers who used these tools in the last year. We look at which vendor products and technologies developers are currently using, and we measure developer satisfaction across 20 different attributes. Our analysis provides deep insights into the criteria developers use to select products and how likely they are to recommend Key Questions Answered Which AI-assisted coding tools are developers aware of, which are they currently using and which have they abandoned? Which attributes do developers consider most important when they select an AI-assisted coding tool? Do developers rely on a single AI-assisted coding tool, or do they use multiple? Why do developers stop using AI-assisted coding tools? How satisfied are developers with each AI-assisted coding tool? How do they score the tools they use across the attributes they consider most important? How likely are developers to recommend the AI-assisted coding tools products they are currently using? How do the user bases of the most popular AI-assisted coding tools compare to one another? 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 six and a half weeks between June 2025 and July 2025. 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? How reliable is the data? Can this support a business case or budget proposal? How do you ensure credibility with our executive team? Do you replace internal research or complement it? I don’t see my company/product on the list. Can you benchmark us against our competitors? Is this relevant if we sell AI tooling? How long do projects typically take? 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 aim of this report is to provide an overview of the current state of wireless networking technologies through the eyes of Internet of Things (IoT) software developers. We first investigate the adoption of different wireless technologies in IoT projects and then we look at the top challenges that IoT developers face when using wireless technologies. Finally, we explore the approaches these developers take to ensure the security of applications with wireless capabilities. All Insights Networking in IoT applications Use of wireless technologies in IoT projects and challenges faced by developers Access the Full Preview About this Report The aim of this report is to provide an overview of the current state of wireless networking technologies through the eyes of Internet of Things (IoT) software developers. We first investigate the adoption of different wireless technologies in IoT projects and then we look at the top challenges that IoT developers face when using wireless technologies. Finally, we explore the approaches these developers take to ensure the security of applications with wireless capabilities. Key Questions Answered How many IoT developers have used wireless connectivity technologies or protocols in their projects in the past 12 months? Which wireless connectivity technologies are the most popular? How is wireless technology usage linked to experience in IoT development projects? What are the top challenges that IoT developers face when working with wireless connectivity technologies? Are developers utilising certain connectivity technologies in their projects more likely to experience challenges? How do IoT developers working with wireless technologies secure their projects? Which security approaches are more likely to create challenges for IoT developers? Click to expand ACCESS THE FULL PREVIEW Methodology This report is based on data collected from over 860 developers who indicated that they are involved in industrial IoT or consumer electronics projects in the 25th edition of our Developer Nation survey, which was fielded in Q3 2023. 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? How reliable is the data? Can this support a business case or budget proposal? How do you ensure credibility with our executive team? Do you replace internal research or complement it? I don’t see my company/product on the list. Can you benchmark us against our competitors? Is this relevant if we sell AI tooling? How long do projects typically take? 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

SlashData can offer their services for market research on audience insights, product improcement, brand research, segmentation, competitive market analysis and more. How can our market research help you? Discover our services I’m interested in…. Audience Insights Product Development & Improvement Brand Research Customer Segmentation & Profiling Product Configuration & Optimisation Competitive Market Analysis How can we help? BOOK A CALL CONTACT US Audience insights Understand the behaviours, preferences, and motivations of your current and potential customers. Tailor your product features and marketing strategies to their needs. MORE DETAILS Brand research How are you performing in terms of brand awareness, perception, loyalty, and positioning? Adjust your brand strategy in response to your audience’s feelings and perceptions towards your company or your offerings. MORE DETAILS Product configuration & optimisation Conjoint Analysis: Optimise the feature and price mix for new products. Discover the combination of product features that appeal the most to your customers. MORE DETAILS Product development & improvement Discover who uses your products/services. What do they like or dislike? What’s driving their choices? Identify areas of improvement, missing features that would make your offerings more appealing, and justify feature investments to the rest of your business. MORE DETAILS Customer segmentation & profiling Identify distinct groups of customers in your target addressable market based on demographics, firmographics, motivations, or needs. Understand significant behavioural differences between these groups, and target them with tailored messaging and products/services. MORE DETAILS Competitive market analysis Start here to become a market leader. Benchmark competing companies or products/services (including yours), understand industry best practices and discover where you need to focus your efforts. MORE DETAILS How can we help? BOOK A CALL CONTACT US FREE INSIGHTS DOWNLOAD REPORT Explore our industry insights

The aim of this report is to provide an overview of the current state of observability through the eyes of DevOps professionals. We will begin by investigating the adoption of application performance monitoring and observability technologies, and discuss how this is affected by region, company size, and experience levels of the developers. Following this, we will take a deep dive into the most prominent challenges that developers face when setting up and maintaining observability projects. All Insights Observability in software development and the challenges developers face in observability projects Access the Full Preview About this Report The aim of this report is to provide an overview of the current state of observability through the eyes of DevOps professionals. We will begin by investigating the adoption of application performance monitoring and observability technologies, and discuss how this is affected by region, company size, and experience levels of the developers. Following this, we will take a deep dive into the most prominent challenges that developers face when setting up and maintaining observability projects. Key Questions Answered What are the features of a high quality API according to developers? What are developers concerned with in their use of third-party APIs? According to developers what are the key security risks in the use of third-party APIs? Click to expand ACCESS THE FULL PREVIEW Methodology This report is based on data collected from over 15,000 professional developers who indicated that they use DevOps technologies in the 23rd edition of our Developer Nation survey, which was fielded in Q3 2022. 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? How reliable is the data? Can this support a business case or budget proposal? How do you ensure credibility with our executive team? Do you replace internal research or complement it? I don’t see my company/product on the list. Can you benchmark us against our competitors? Is this relevant if we sell AI tooling? How long do projects typically take? 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

This report investigates the state of integration of open and fully open-source artificial intelligence (AI) models by developers who add AI functionality to their applications. While focusing on the broader picture, we explore the types of functionalities developers use these models for, why they choose them over their proprietary alternatives, and the challenges they face. In addition to this, we also take a brief look at the reason why developers might avoid using open or open-source models in their applications. All Insights Developers’ experience with integrating AI functionality A focus on open and open-source AI models Access the Full Preview About this Report This report investigates the state of integration of open and fully open-source artificial intelligence (AI) models by developers who add AI functionality to their applications. While focusing on the broader picture, we explore the types of functionalities developers use these models for, why they choose them over their proprietary alternatives, and the challenges they face. In addition to this, we also take a brief look at the reason why developers might avoid using open or open-source models in their applications. ACCESS THE FULL PREVIEW Methodology The report is based on data collected in the 27th edition of SlashData’s global Developer Nation survey, which was fielded between June and July 2024. This survey reached over 2,000 developers who add AI functionality to their applications and answered questions about their experiences with open and open-source models. 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? How reliable is the data? Can this support a business case or budget proposal? How do you ensure credibility with our executive team? Do you replace internal research or complement it? I don’t see my company/product on the list. Can you benchmark us against our competitors? Is this relevant if we sell AI tooling? How long do projects typically take? 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 Key Questions Answered What types of functionalities do you add to your applications using open or open-source ML/AI models? What are your main reasons for using open or open-source ML/AI models to add AI functionality to your applications? Do you face any challenges when using open or open-source ML/AI models in your applications? What are your main reasons for not integrating open or open-source ML/AI models in your applications? Click to expand

The Developer Program Benchmarking is SlashData’s semi-annual market analysis, on usage and developer satisfaction, of industry-leading developer programs. Updated: March Fix what’s not working on your developer program. Compare 22 leading developer programs on adoption, engagement, and satisfaction (CSAT). Pinpoint the exact levers to pull to boost activation, reduce drop-off, and outperform competitors. Updated: March 2026 DOWNLOAD REPORT What Developer Program Benchmarking will do for you Build a business case fast Prove where to invest (and why) using hard benchmarks. Find your experience gaps Identify where devs engage but aren’t happy (churn risk) vs where you’re simply not getting usage. Prioritise the right roadmap Focus on the features that actually move adoption and satisfaction (not internal pet projects). Target smarter by segment See how needs change by region and seniority—so your message and your program land. What we track Documentation & sample code Development tools, integrations & libraries Tutorials & how-to videos Training courses & hands-on labs Webinars & online interactive coding events Professional certification Internships & career support Answers in public forums (e.g. Stack Overflow) Official forums Technical support Mentoring 12. Feedback channels (e.g. issue tracker, developer advocate) 13. Information via newsletters, blogs, and social media 14. Meetups 15. Hackathons & contests 16. Conferences & trade shows 17. Access to devices & hardware 18. Early access program 19. Business assistance & funding 20. Marketplaces for software 21. Interactive learning environments 22. Community See it for yourself. Explore what the report covers: SEE THE PREVIEW What it answers The Developer Program Benchmarking answers questions such as: The usage, engagement, and satisfaction with leading developer programs. Regional differences in program success. Developer tenure of programs and movement between programs. Which support features are most important to developers? How does a developer's experience in software development impact which support features they expect from developers? Which support features are the industry succeeding at and failing at supporting? Which vendors are leading on different support features? What motivates developers to attend events? What do developers value from vendors at events? What is important to a developer from a virtual event? Developer Program Benchmarking Survey Understanding meets benchmarking Understand how your program compares with the industry or competitors Understand how your community strategy matches software developer expectations and industry best practices. LET'S TALK

Drive brand success with expert market research services — SlashData helps you understand brand awareness, customer perception, and market position to refine strategy, boost engagement, and grow your market share. A powerful brand, powered by customer insights Your brand is your identity - let’s explore together if your audience perceives it the way you intend. The importance of market research in branding A strong brand is a key driver of customer loyalty, market differentiation, and long-term success. Understanding brand perceptions is essential for making strategic decisions. Access market research that powers you to act on strategic insights to: Whether you’re launching a new brand, repositioning an existing one, or looking to strengthen your market presence, our brand research services equip you with the intelligence needed to make informed decisions. GET IN TOUCH BOOK A CALL Where do you want to take your brand? Let’s get you the insights you need to get there. How SlashData research works on Brand awareness How recognisable is your brand? Brand awareness research measures how well your target audience recognises and recalls your brand. Through our research, we analyse how your brand is perceived and how awareness compares to competitors and identify growth opportunities. Access key market insights on brand awareness and: Identify the customer groups most aware of your brand and the ones that need more attention Discover the segments and product categories your brand leads or lags behind Compare to your competitors and draw inspiration from the industry leaders Determine the ROI of your marketing efforts Refine your advertising strategies to strengthen your brand and enhance your visibility Understanding Brand perception with research How do customers feel about your brand? Explore brand perception and identity by looking at market insights. Evaluate how your customers feel about your brand and whether that is aligned with your intended brand image. Unlock disconnect and take advantage of opportunities, and proactively care for reputational risks. How you benefit from brand perception research Align brand strategy with customer brand perceptions, expectations and needs Uncover potential disconnects between your brand messaging and audience perception Understand whether your brand reputation is positive or needs improvement. Ready to take your brand to the next level? CONTACT US 360 Brand tracking with SlashData market research Which strategy performs best for your branding efforts? Measure your brand's performance over time with our brand tracking research. Evaluate key brand metrics such as awareness, perception, loyalty, and market positioning at regular intervals to identify trends, track the effectiveness of marketing efforts, and ensure brand health remains strong. Track brand performance across time and: Measure how brand awareness and perception respond to your marketing efforts Fine-tune marketing investment on the channels which drive improvements in brand health Detect early declining brand loyalty signs, negative sentiment, or competitive threats Track long-term shifts in customer loyalty Map how your brand is evolving in specific regions or demographics Optimise your message for conversions Which message resonates with your audience? Test different messaging approaches (e.g. with A/B testing) with your target audience to understand which one works better. Through our research we can help you understand how your customers feel about your message, if there are any unclear parts, and how their perceptions towards your brand and products have changed in response to these messages. Using SlashData research for message testing can help you: Refine messaging to better align with customer expectations and emotions Optimise content strategies to improve engagement and conversion rates Ensure consistency in brand communication across platforms Do you want the best for your brand? We do too. Let’s get you the data you need GET IN TOUCH BOOK A CALL Explore all our services Audience Insights ➜ Product Development & Improvement ➜ Brand Research ➜ Customer Segmentation & Persona Insights ➜ Product Configuration & Optimisation ➜ Competitive Market Intelligence ➜

Application programming interfaces (APIs) have revolutionisedthe way software is created, enabling developers to use readily available solutions instead of spending time and effort building every piece of their application themselves. In this report, we explore the current state of the global landscape of APIs from the developers' perspective. We look at how many developers use APIs and what sets them apart from those who don't. Moreover, we dive deeper into the specific categories of third-party APIs that developers use the most, explore what developers are looking for in APIs, and what challenges they are facing, with a focus on security. All Insights Concerns, challenges, and use of third-part APIs A look at third party APIs: usage, characteristics, security. Access the Full Preview About this Report Application programming interfaces (APIs) have revolutionisedthe way software is created, enabling developers to use readily available solutions instead of spending time and effort building every piece of their application themselves. In this report, we explore the current state of the global landscape of APIs from the developers' perspective. We look at how many developers use APIs and what sets them apart from those who don't. Moreover, we dive deeper into the specific categories of third-party APIs that developers use the most, explore what developers are looking for in APIs, and what challenges they are facing, with a focus on security. Key Questions Answered Who uses sustainable software engineering (SSE) approaches? Where are the global hotspots for SSE? Which types of SSE approaches are used? Which SSE principles are utilised by developers of different experience levels and in different regions? What motivates developers to use different SSE approaches and principles? How do developers’ motivations influence the types of SSE approaches they utilise? Which challenges do developers face when implementing SSE approaches? How do they challenges developers face change with their experience levels? Click to expand ACCESS THE FULL PREVIEW Methodology The report is based on data collected from over 22,500 developers who answered questions related to the use of APIs in the 24th edition of our Developer Economics survey, which was fielded in Q1 of 2023. 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? How reliable is the data? Can this support a business case or budget proposal? How do you ensure credibility with our executive team? Do you replace internal research or complement it? I don’t see my company/product on the list. Can you benchmark us against our competitors? Is this relevant if we sell AI tooling? How long do projects typically take? 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

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? How reliable is the data? Can this support a business case or budget proposal? How do you ensure credibility with our executive team? Do you replace internal research or complement it? I don’t see my company/product on the list. Can you benchmark us against our competitors? Is this relevant if we sell AI tooling? How long do projects typically take? 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

Learn from the Developer Marketing industry’s biggest success and failure stories. The third edition is written by leading developer marketing practitioners in some of the worlds largest technology companies. It is full of insights from a generation of thought leaders within the tech industry. Developer Marketing & Relations The Essential Guide GET ON AMAZON EBOOK VERSION “Finally...A book that helps us better understand developer marketing.” “A must-read for every leader in technology-driven companies” Practise Developer Marketing & DevRel like a champion! Learn from the industry’s biggest success and failure stories. This book was the first of its kind when it first came out. The current third edition is written by leading developer marketing practitioners in some of the worlds largest technology companies. It is full of insights from a generation of thought leaders within the tech industry - who happily share them with everyone working, or planning to work in developer marketing or DevRel roles. What's inside GET ON AMAZON EBOOK VERSION About the authors Written by developer marketing and relations thought leaders, from the world’s top tech firms Edited by: Caroline Lewko, CEO | WIP (3rd edition chapters) Nicolas Sauvage , Nicolas Sauvage, President & Managing Director | TDK Ventures Andreas Constantinou , founder of SlashData Produced by SlashData the leading analyst firm in the developer economy, tracking global software developer trends via the largest, most comprehensive developer surveys worldwide. Their research helps the top technology firms understand who developers are, what tools they are using and where they’re going next. Published in partnership with apidays All profits from book sales will be donated to worthy coding causes around the world, that help shape the future of software development. Questions? LET'S TALK

Key Questions Answered What is the current adoption of DevOps practices? What is the current adoption of DevOps technologies? Which industries are most involved in DevOps? How has the industry’s performance on DORA metrics changed over the last three and a half years? What is the impact of using multiple DevOps technologies on DORA performance? What is the impact of CI/CD tools on DORA performance? What is the impact of using multiple CI/CD tools simultaneously? Click to expand ACCESS THE FULL REPORT Methodology The findings in this report are based on data from SlashData’sprevious eight Developer Nation surveys which reached more than 150,000 respondents worldwide over three and half years, from Q3 2020 to Q1 2024. 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? How reliable is the data? Can this support a business case or budget proposal? How do you ensure credibility with our executive team? Do you replace internal research or complement it? I don’t see my company/product on the list. Can you benchmark us against our competitors? Is this relevant if we sell AI tooling? How long do projects typically take? State of Continuous Integration and Continuous Delivery Report 2024 The Evolution of Software Delivery Performance Access the Full Report About this Report In this report, commissioned by the Continuous Delivery Foundation (CDF) and authored by SlashData, we explore the current state of the CI/CD developer ecosystem and how this has evolved over the past three and half years. We will look at what proportion of developers are involved in the broader DevOps space and how many work with CI/CD technologies in particular. Moreover, we will see how developers software delivery performance has changed over time. Finally, we will explore how developers’ usage of multiple CI/CD tools contributes to software delivery performance, as well as the impact of utilizing numerous different types of DevOps technologies.

This report investigates the state of integration of open and fully open-source artificial intelligence (AI) models by developers who add AI functionality to their applications. While focusing on the broader picture, we explore the types of functionalities developers use these models for, why they choose them over their proprietary alternatives, and the challenges they face. In addition to this, we also take a brief look at the reason why developers might avoid using open or open-source models in their applications. All Insights Developers’ experience with integrating AI functionality A focus on open and open-source AI models Access the Full Preview About this Report This report investigates the state of integration of open and fully open-source artificial intelligence (AI) models by developers who add AI functionality to their applications. While focusing on the broader picture, we explore the types of functionalities developers use these models for, why they choose them over their proprietary alternatives, and the challenges they face. In addition to this, we also take a brief look at the reason why developers might avoid using open or open-source models in their applications. Key Questions Answered What types of functionalities do you add to your applications using open or open-source ML/AI models? What are your main reasons for using open or open-source ML/AI models to add AI functionality to your applications? Do you face any challenges when using open or open-source ML/AI models in your applications? What are your main reasons for not integrating open or open-source ML/AI models in your applications? Click to expand ACCESS THE FULL PREVIEW Methodology The report is based on data collected in the 27th edition of SlashData’s global Developer Nation survey, which was fielded between June and July 2024. This survey reached over 2,000 developers who add AI functionality to their applications and answered questions about their experiences with open and open-source models. 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