Search Results

How AI coding tools compare in terms of key performance indicators All Reports AI Coding Tools Benchmark How AI coding tools compare in terms of key performance indicators Access the Full Report About this Report Artificial Intelligence (AI) has now become a core infrastructure component of modern software engineering, reshaping everything from how code is written to how software teams deliver value. In this report, we benchmark the rapidly evolving landscape of AI coding assistants, agents, and AI-native IDEs – otherwise referred to as AI coding 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 offer buyers clarity on where AI delivers measurable impact, and to highlight for vendors where the strongest opportunities and gaps exist. This report presents data from our inaugural AI Coding Tools Benchmark. The results were collected in Q4 2025 from a global panel of 837 professional developers who use AI coding tools. We benchmarked 16 of the most prominent AI coding tools, selected for their market impact and technological relevance. They are, in alphabetical order: Aider, Amazon Q Developer, Claude Code, Cline, Cursor, Firebase Studio, Gemini Code Assist, GitHub Copilot, GitLab Duo, JetBrains AI, Mistral Code, OpenAI Codex, Replit, Sourcegraph Amp, Tabnine, and Windsurf. Key Questions Answered Which AI coding tools are developers actually using, and how deeply are they integrated into day-to-day workflows? How satisfied are developers with these tools, particularly on the coding tasks that matter most? How much measurable productivity uplift do these tools deliver – in terms of PR throughout and weekly time saved? How does developer trust translate into real behaviour – acceptance of AI-generated code versus ongoing manual review and oversight? Click to expand ACCESS THE FULL REPORT Methodology In Q4 2025, SlashData designed and ran a global, online survey to study how professional developers who rely on AI technologies for their coding work engage with AI coding assistants, agents, and AI-native IDEs. We conducted the analysis presented in this report based on data collected from 800+ respondents across more than 20 countries worldwide. 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 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 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 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 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

AI Technology tools tracker compares AI coding tools based in developer adoption, performance, quality and trust, including: GitHub Copilot, Claude Code, OpenAI Codex, Cursor Windsurf, Gemini Code Assist, Amazon Q Developer, JetBrains AI, Replit, Firebase Studio, Sourcegraph Amp, Tabnine, Mistral Code, aider, GitLab Duo, Cline About More How developers feel about the AI coding tools they are using Meet the AI Technology tools benchmark Compare the 16 leading coding tools based on developer adoption, performance, quality and trust. Stop investing in hype. Power decisions on data, bring results. Build your product based on what developers using coding AI tools actually expect Respond to performance pressure with clear actions, backed by data Leave guesswork aside Foggy competitor landscape? Not anymore Capitalise on the areas where your competitors are lagging. The free version offers a comparison of Claude Code, Codex and Cursor . The full version benchmarks all 16 tools. ACCESS THE FREE REPORT ACCESS THE FULL REPORT Drive performance based on insights Fill in your email and we will get in touch. Email* LET'S TALK Turn risky AI decisions into product roadmaps that drive results, adoption and revenue. Invest on what developers are looking and are willing to pay for, not hype Drive adoption, revenue and growth through the right product roadmap Find the right AI tool for the job YOU are doing Optimise performance, build a happy developer team The solution for AI technology vendors Benchmark product performance on awareness, adoption , engagement and satisfaction Discover what drives engagement Identify gaps in your competitors' products AI technology buyers Reduce risk by choosing the more trusted tool Choose the right tool for your stage in the lifecycle Choose the right tools for your team Set expectations on productivity and quality They trust us Decision clarity based on developer data and insights SCHEDULE A CALL Company About Culture & Careers Blog Methodology Contact us Resources Case studies Research Space Free Industry Reports Webinars Podcast Book Research Developer Ecosystem Insights Developer Program Benchmarking Competitive Technologies Landscape Data Dashboards Developer Population Sizing Free Industry Reports Research Space Methodologies Qualitative Research Quantitative Research Competitive Market Research NEWSLETTER Services All Services Product Development Brand Research Product Configuration & Optimisation Competitive Market Intelligence Audience Insights Customer Segmentation & Persona Insights SlashData © Copyright 2025 | All rights reserved | Cookie Policy | Privacy Policy AI Coding Tools Benchmark Stop investing in hype. Power decisions on data, bring results. Build your product based on what developers using coding AI tools actually expect Respond to performance pressure with clear actions, backed by data Leave guesswork aside Foggy competitor landscape? Not anymore Capitalise on the areas where your competitors are lagging. How are developers using... Replit Firebase Studio Sourcegraph Amp Tabnine Mistral Code aider GitLab Duo Cline GitHub Copilot Claude Code OpenAI Codex Cursor Windsurf Gemini Code Assist Amazon Q Developer JetBrains AI ...and how do they feel about it? Turn risky AI decisions into product roadmaps that drive results, adoption and revenue. Invest on what developers are looking and are willing to pay for, not hype Drive adoption, revenue and growth through the right product roadmap Find the right AI tool for the job YOU are doing Optimise performance, build a happy developer team

Key Questions Answered What percentage of enterprise developers deal with API-related security exploits, and how frequently? How do organisations respond to API-related security exploits, and how long they take to resolve them? What security-related activities are enterprise developers involved in? Click to expand ACCESS THE FULL REPORT Methodology This report provides data from two global surveys of enterprise developers developed collaboratively by Cisco and SlashData. It covers developers’ exposure to API security exploits, their outlook on security, the extent to which developers consider security during the early stages of development, and how they are using automation tools to detect and remediate threats. 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 Developers & Shift-left Security Adopting new security strategies to strengthen API-first software development Access the Full Report About this Report In this report, we examine the state of security in enterprise software development. Using data from two global surveys of enterprise developers, we show the extent of security threats and challenges faced by enterprise developers, particularly when using modern development approaches that rely on open and connected environments, with microservice architectures and APIs as foundational building blocks. We find that the majority ofdevelopers have already experienced at least one security exploit in the APIs that they work with.

In today’s rapidly evolving technological landscape, the significance of robust software supply chain management (SSCM) can’t be overstated. In this report, we explore the practices employed by DevOps professionals to ensure the security, quality, and reliability of the software they build. Additionally, we examine the different software supply chain threats faced by organisations, highlighting the need for mature and resilient software supply chains within organisations. All Insights Software supply chain management in organisations Exploring practices and threats in software supply chain management Access the Full Preview About this Report In today’s rapidly evolving technological landscape, the significance of robust software supply chain management (SSCM) can’t be overstated. In this report, we explore the practices employed by DevOps professionals to ensure the security, quality, and reliability of the software they build. Additionally, we examine the different software supply chain threats faced by organisations, highlighting the need for mature and resilient software supply chains within organisations. Key Questions Answered Which SSCM practices are organisations implementing? How many SSCM practices does an organisation implement? How does the implementation of SSCM practices correlate with DevOps performance metrics? How does the implementation of SSCM practices differ by region and company size? How do DevOps professionals score the implementation of each SSCM practice in their organisation? What software supply chain threats do organisations face? Click to expand ACCESS THE FULL PREVIEW Methodology This report is based on data collected from over 2,300 DevOps professionals in the 26th edition of our Developer Nation survey, which ran between December 2023 and February 2024. 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 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

Data for the report comes from the 23rd edition of our Developer Nation survey, which ran between June 2022 and August 2022. A spotlight on blockchain developers Who are they, and what blockchain platforms do they use? Access the Full Preview All Insights About this Report Data for the report comes from the 23rd edition of our Developer Nation survey, which ran between June 2022 and August 2022. Key Questions Answered How many DevOps professionals use application performance monitoring and observability technologies? Who uses application performance monitoring and observability technologies? What challenges do DevOps professionals face in observability projects? How do these challenges differ by experience, company size, and region? Click to expand ACCESS THE FULL PREVIEW Methodology In this report we provide a deeper understanding of the developers working on, learning about, and interested in blockchain projects, discovering where they live and how they learnt to code. We also provide a specific focus on professional developers involved in blockchain projects, understanding which types of roles they have, which software sectors they're involved in, and which revenue models they use. We deep dive into where blockchain developers go to get information about software development and what types of content they prefer to use for different purposes. Finally, we focus on which blockchain platforms are being used, how many platforms are being used, as well as the experience profile of developers using these platforms. 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 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 explores how developers begin their IIoT journey: which development boards they start with, how they experience onboarding across tasks and ecosystems, and how these patterns differ by experience level, role, and region. The findings highlight where the industry is lowering technical barriers and where better documentation, community support, or learning pathways are still needed. Insights come from the 30th edition of the Developer Nation survey, which ran from June to August 2025 and reached 830 developers worldwide involved in IIoT projects. All Insights IIoT accessibility Technology ease of use and developer-friendliness Access the Full Preview About this Report This report explores how developers begin their IIoT journey: which development boards they start with, how they experience onboarding across tasks and ecosystems, and how these patterns differ by experience level, role, and region. The findings highlight where the industry is lowering technical barriers and where better documentation, community support, or learning pathways are still needed. Insights come from the 30th edition of the Developer Nation survey, which ran from June to August 2025 and reached 830 developers worldwide involved in IIoT projects. Key Questions Answered Arduino is one of the most common starting points in IIoT, significantly ahead of other development boards, except for legacy microcontroller kits. One in eight developers cannot recall their first IIoT board, suggesting that IIoT entry is often informal and opportunistic. Newer entrants to IIoT and today’s students largely report starting with Arduino as their first development board. Click to expand ACCESS THE FULL PREVIEW 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. 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 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 understand the current state of fully-managed AI services/APIs from the perspective of developers who use them to add generative AI functionality to their applications. We begin by examining which services/APIs developers are currently using. Following this, we take a close look at what attributes developers prioritise when evaluating fully-managed services/APIs for adding generative AI to their applications. Finally, we discuss how these services/APIs perform in terms of customer satisfaction (CSAT) for quality of outputs, ease of integration, reliability, and speed and latency amongst developers who use them. All Insights Benchmarking of fully-managed generative AI services/APIs Investigating adoption, attribute priorities, and satisfaction Access the Full Preview About this Report The aim of this report is to understand the current state of fully-managed AI services/APIs from the perspective of developers who use them to add generative AI functionality to their applications. We begin by examining which services/APIs developers are currently using. Following this, we take a close look at what attributes developers prioritise when evaluating fully-managed services/APIs for adding generative AI to their applications. Finally, we discuss how these services/APIs perform in terms of customer satisfaction (CSAT) for quality of outputs, ease of integration, reliability, and speed and latency amongst developers who use them. Key Questions Answered Which fully-managed services/APIs are you currently using to add generative AI functionality to your applications? Which of the following attributes do you prioritise when evaluating a fully-managed generative AI service/API? How would you rate each generative AI service/API with respect to each attribute? Click to expand ACCESS THE FULL PREVIEW Methodology The report is based on data collected from the 29th 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 11 weeks between December 2024 and February 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 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 How do the backgrounds and experience levels of ML/AI developers differ from those in other sectors of software development? What are the preferred programming languages for ML/AI developers, and how do these preferences vary by experience level? What are the primary goals and motivations for ML/AI beginners compared to experienced developers? How does the use of ML/AI for personal projects versus organisational needs evolve with developer experience? Click to expand ACCESS THE FULL REPORT Methodology The 26th edition of the Developer Nation survey reached more than 10,000 respondents from 135 countries around the world. This research report delves into key developer trends for Q1 2024 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 Profiling of new ML/AI developers Who are the developers who just started their journey in ML/AI development? Access the Full Report About this Report In this report, we aim to understand the profile of developers who started working on machine learning (ML)/artificial intelligence (AI) projects in the last three years. We will do so by looking at basic demographics, such as where they are mostly located, their choice of programming languages, the most common target audiences of their applications, as well as their most important goals in ML/AI development.

Key Questions Answered How familiar are developers with distributed cloud services? How interested are developers in using distributed cloud services? What benefits are developers interested in gaining from a distributed cloud services? Which industries have the greatest interest in distributed cloud? What challenges do developers envision with distributed cloud? Which standards or services do developers believe they need to see before they would consider using distributed cloud? Click to expand ACCESS THE FULL REPORT Methodology The findings of this report are based on a survey of more than 700 professional developers who deploy, build, or manage services and applications in the cloud, between June and July 2023. These developers come from over 50 countries, and across a wide range of industries. 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 Developer Perceptions of Distributed Cloud Exploring the perceptions of and interest in the current state of distributed cloud. Access the Full Report About this Report This report, authored by SlashDataand commissioned by Akamai, explores the perceptions of and interest in the current state of distributed cloud. For this report, respondents were provided the following definition of distributed cloud computing: “Distributed cloud computing is the practice of decentralizing cloud resources and services to be physically closer to the data source or user, while still being managed centrally.” Further, this report also examines the advantages developers are most interested in exploring in a distributed and decentralized world, as well as what challenges they expect to face. Developers were also asked to consider the development standards they believe are most important, as well as which technologies they feel need greater development to support their adoption of a more distributed cloud.

In this case study, we look at how SlashData worked with a client product team to answer their questions on developer authentication needs. All Case Studies Understanding how developers engage with authentication services The challenge The Product Strategy and Pricing team of a leading identity management provider was looking to improve their product strategy in a way that included a price structure to attract wider audiences, increase competitiveness, and grow conversions from free to paid tiers. The approach SlashData worked closely with the Client to understand their research objectives, and designed a 25-question survey that best answered the Client’s business questions. Then, SlashData gathered responses from 300+ developers with experience in utilising authentication APIs in their applications. The respondents were sourced through SlashData’s own developer community, as well as through vetted third-party survey panels. The sample collected covered the geographies and specific developer profiles requested by the Client. The result The data collected from SlashData’s survey answered the Client's key questions: What use cases are developers targeting with competitive authentication services? What features led them to choose their primary solution? What would make them move to another offering? How important are free plans to authentication service users? What would make them switch from a free to a paid authentication API tier? As a result, the Client was able to identify key features vs competitors and gained a better understanding of how developers interact with authentication services. Why SlashData? SlashData, acting as a full-service market research partner, helped the Client go from a high-level research brief to actual data that provided answers to critical business questions in just 30 days. Tapping into its own developer community and selected third-party sample providers, SlashData distributed an online survey that reached respondents who precisely matched the Client’s target audience. The survey was hosted on SlashData’s proprietary survey platform, which enables in-depth data cleansing through the advanced metadata it collects. Are you focused on increasing conversions from free to paid? Our data can help. Contact us . You can find all our data & free industry reports in our Research Space . Related services Audience Insights Product development & improvement Previous Case Next Case Get all the new insights in your inbox JOIN NEWSLETTER Talk to our analysts TALK TO US

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. All Insights How developers integrate generative AI into their apps Approaches, use cases, challenges, and cloud services used Access the Full Preview About this Report 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. Key Questions Answered What affects developer productivity? How do you measure developer productivity? Click to expand ACCESS THE FULL PREVIEW Methodology 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. 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 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 how developers use artificial intelligence (AI)-assisted development tools. We start by looking at how many developers use these AI tools to help them with their projects and exploring the tasks they use them for. This report also covers the main reasons why developers use AI-assisted development tools and their effectiveness. Finally, we investigate the challenges developers face when using these tools in their projects. To better understand the current state of AI-assisted development tools, we also break down AI usage information by developer demographics such as experience and use cases throughout the report. All Insights How developers use AI-assisted development tools Exploring adoption, effectiveness and challenges for AI-assisted tools. Access the Full Preview About this Report This report investigates how developers use artificial intelligence (AI)-assisted development tools. We start by looking at how many developers use these AI tools to help them with their projects and exploring the tasks they use them for. This report also covers the main reasons why developers use AI-assisted development tools and their effectiveness. Finally, we investigate the challenges developers face when using these tools in their projects. To better understand the current state of AI-assisted development tools, we also break down AI usage information by developer demographics such as experience and use cases throughout the report. Key Questions Answered How does the likelihood of using AI tools vary across developers with differing experience levels? What are the common use cases for AI-assisted development tools? How effective do developers perceive AI to be in accomplishing various tasks? What are the key drivers and barriers that motivate and impede developers when incorporating AI tools into their workflow? Click to expand ACCESS THE FULL PREVIEW 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 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 Methodology The 26th edition of the Developer Nation survey reached more than 10,000 respondents from 135 countries around the world, which ran between December 2023 and February 2024. This research report delves into key developer trends for Q1 2024 and beyond.