Stack Overflow says 84% of 2025 Developer Survey respondents use or plan to use AI tools in their development process, up from 76% in 2024.

AI | 2025 Stack Overflow Developer Survey

Stack Overflow 2025 Developer Survey AI section. The AI tools question had 33,662 responses from all respondents and 26,004 responses from professional developers. Firecrawl snapshot saved on May 11, 2026.

Survey response base changes by question. Use the response count or subgroup when making detailed comparisons.


Stack Overflow says 47.1% of all respondents use AI tools daily in their development process.


Stack Overflow says 17.7% of all respondents use AI tools weekly in their development process.


Stack Overflow says 13.7% of all respondents use AI tools monthly or infrequently in their development process.


Stack Overflow says 16.2% of all respondents do not plan to use AI tools in their development process.


Stack Overflow says 50.6% of professional developers use AI tools daily in their development process.


Stack Overflow says 17.4% of professional developers use AI tools weekly in their development process.


Stack Overflow says 12.8% of professional developers use AI tools monthly or infrequently.


Stack Overflow says 14.7% of professional developers do not plan to use AI tools in their development process.


Stack Overflow says 55.5% of early-career developers use AI tools daily.


Stack Overflow says 47.3% of experienced developers use AI tools daily.


Stack Overflow says 46% of developers do not trust the accuracy of AI tool output, up from 31% in 2024.

Stack Overflow 2025 Developer Survey press release

Stack Overflow company press summary of its 2025 Developer Survey, including year-over-year AI adoption, trust and frustration findings. Firecrawl snapshot saved on May 11, 2026.

Press summary is useful for headline survey findings. Prefer the survey page for per-question response bases.


Stack Overflow says more developers actively distrust AI tool accuracy (46%) than trust it (33%).


Stack Overflow says only 3% of developers report highly trusting AI tool output.


Stack Overflow says 45% of respondents cite debugging AI-generated code as time-consuming.


Stack Overflow says 66% of developers cite AI solutions that are almost right, but not quite, as their biggest frustration.


Stack Overflow says 75.3% of users would ask another person for help when they do not trust AI answers.


Stack Overflow says 61.7% of users would ask another person for help when they have ethical or security concerns about code.


Stack Overflow says 61.3% of users would ask another person for help when they want to fully understand something.


Stack Overflow says 58.1% of users would ask another person for help when they want to learn best practices.


Stack Overflow says 49.8% of users would ask another person for help when they need help fixing complex or unfamiliar code.


Stack Overflow says 52% of developers agree AI tools or AI agents have had a positive effect on their productivity.


Stack Overflow says 16.3% of developers report AI tools or agents changed how they complete development work to a great extent.


Stack Overflow says 35.3% of developers report AI tools or agents changed how they complete development work somewhat.


Stack Overflow says 41.4% of developers report AI tools or agents changed their development work not at all or minimally.


Stack Overflow says 14.1% of respondents use AI agents at work daily.


Stack Overflow says 9% of respondents use AI agents at work weekly.


Stack Overflow says 7.8% of respondents use AI agents at work monthly or infrequently.


Stack Overflow says 17.4% of respondents do not use AI agents at work but plan to.


Stack Overflow says 13.8% of respondents use AI exclusively in copilot or autocomplete mode rather than agents.


Stack Overflow says 37.9% of respondents do not use AI agents at work and do not plan to.


Stack Overflow says 83.5% of AI-agent users at work use agents for software engineering.


Stack Overflow says 24.9% of AI-agent users at work use agents for data and analytics.


Stack Overflow says 18% of AI-agent users at work use agents for IT operations.


JetBrains says its January 2026 AI Pulse survey included more than 10,000 professional developers worldwide and was localized into eight languages.

Which AI Coding Tools Do Developers Actually Use at Work?

JetBrains Research article based on the January 2026 AI Pulse survey of more than 10,000 professional developers worldwide, localized into eight languages, plus September 2025 AI Pulse and Developer Ecosystem survey waves. Firecrawl snapshot saved on May 11, 2026.

JetBrains research is a vendor-published developer survey. Treat market-share figures as survey adoption at work, not revenue share.


JetBrains says 90% of developers regularly used at least one AI tool at work for coding and development tasks in January 2026.


JetBrains says 74% of developers worldwide had adopted specialized AI tools for developers by January 2026.


JetBrains says 76% of developers worldwide had heard of GitHub Copilot and 29% used it at work in January 2026.


JetBrains says GitHub Copilot adoption reaches 40% among developers at companies with more than 5,000 employees.


JetBrains says 69% of developers were aware of Cursor in January 2026.


JetBrains says Cursor and Claude Code each had 18% work adoption among developers worldwide in January 2026.


JetBrains says 57% of developers had heard of Claude Code in January 2026, up from 49% in September 2025 and 31% in April-June 2025.


JetBrains says Claude Code work adoption reached 24% in the US and Canada in January 2026.


JetBrains says Claude Code had a 91% CSAT and an NPS of 54 in January 2026.


JetBrains says 27% of developers had heard of OpenAI Codex and 3% used it for work in January 2026, before the public launch of the Codex desktop app.


JetBrains says 28% of developers used the ChatGPT chatbot for coding and development tasks at work in January 2026.


JetBrains says 8% of developers used Gemini and 7% used Claude chatbot interfaces for coding and development tasks at work in January 2026.


JetBrains says Google Antigravity reached 6% adoption by January 2026 after launching in November.


Microsoft Research says developers with GitHub Copilot completed a JavaScript HTTP-server task 55.8% faster than the control group.

The Impact of AI on Developer Productivity: Evidence from GitHub Copilot

Microsoft Research publication page for a controlled experiment where recruited developers implemented an HTTP server in JavaScript with or without GitHub Copilot. Firecrawl snapshot saved on May 11, 2026.

Controlled task study. Do not generalize the speed result to all production software engineering work.


GitHub says Copilot helped developers code up to 55% faster in its lab studies.

Research: Quantifying GitHub Copilot impact in the enterprise with Accenture

GitHub Customer Research article describing a randomized controlled trial and adoption analysis with Accenture developers, combining DevOps telemetry and survey responses. Firecrawl snapshot saved on May 11, 2026.

GitHub-published enterprise customer research. Strong for Copilot-in-Accenture behavior, not a vendor-neutral market benchmark.


GitHub says Copilot made 85% of developers feel more confident in their code quality in prior research cited in the Accenture study.


GitHub says 90% of Accenture developers felt more fulfilled with their job when using GitHub Copilot.


GitHub says 95% of Accenture developers enjoyed coding more with GitHub Copilot help.


GitHub says over 80% of Accenture participants successfully adopted GitHub Copilot.


GitHub says initial GitHub Copilot users in the Accenture study had a 96% success rate.


GitHub says 67% of Accenture participants used GitHub Copilot at least five days per week, with average usage of 3.4 days per week.


GitHub says 70% of Accenture respondents relied on GitHub Copilot for coding tasks in a familiar programming language.


GitHub says 96% of Accenture developers who installed the IDE extension started receiving and accepting suggestions on the same day.


GitHub says Accenture developers took one minute on average from seeing their first Copilot suggestion to accepting one.


GitHub says 43% of Accenture developers found GitHub Copilot extremely easy to use and 51% rated it extremely useful.


GitHub says Accenture developers accepted around 30% of GitHub Copilot suggestions.


GitHub says 90% of Accenture developers reported committing code suggested by GitHub Copilot.


GitHub says 91% of Accenture developers reported that their teams had merged pull requests containing code suggested by GitHub Copilot.


GitHub says Accenture developers retained 88% of GitHub Copilot-generated characters in their editor.


GitHub Octoverse 2025 says AI-related repositories on GitHub exceeded 4.3 million, nearly doubling in less than two years.

GitHub Octoverse 2025 report based on activity on GitHub from September 1, 2024 through August 31, 2025. Firecrawl snapshot saved on May 11, 2026.

Platform activity benchmark. GitHub activity and Copilot usage among new GitHub users are not the same as all-developer adoption.


GitHub Octoverse 2025 says more than 1.1 million public repositories used an LLM SDK.


GitHub Octoverse 2025 says 693,867 public repositories that used an LLM SDK were created in the previous 12 months, up 178% year over year.


GitHub Octoverse 2025 says developers merged 518.7 million pull requests, up 29% year over year.


GitHub Octoverse 2025 says nearly 80% of new developers on GitHub used Copilot within their first week.


GitHub Octoverse 2025 says developers closed 5.5 million issues in July 2025.


GitHub Octoverse 2025 says developers made more than 986 million commits in 2025, up 25% year over year.


GitHub Octoverse 2025 says monthly code pushes topped 90 million by May 2025.


GitHub Octoverse 2025 says 60% of the top 10 open source projects by contributors were AI-focused.


GitHub Octoverse 2024 says 73% of open source survey respondents used AI tools for coding or documentation.

GitHub Octoverse 2024 report and open source survey findings. Firecrawl snapshot saved on May 11, 2026.

GitHub platform and open source survey context. Keep separate from broader professional developer surveys.


GitHub Octoverse 2024 says developers created over 70,000 new public and open-source generative AI projects in 2024.


GitHub Octoverse 2024 says total contributions to generative AI projects increased almost 60% in 2024.


GitHub Octoverse 2024 says more than one million open-source maintainers, verified students and teachers used GitHub Copilot at no cost.


GitHub Octoverse 2024 says teachers, students and open-source maintainers using GitHub Copilot through the complimentary program increased 100% year over year.


GitHub Octoverse 2024 says over 450,000 GitHub Education users were first-time contributors in the prior year.


GitHub Octoverse 2024 says India had a 95% year-over-year increase in contributions to generative AI projects on GitHub.


GitHub Octoverse 2024 says France had a 70% year-over-year increase in contributions to generative AI projects on GitHub.


DORA says 75% of 2024 DORA survey respondents outside Google reported positive productivity impacts from gen AI.

DORA/Google insight article summarizing 2024 DORA survey findings and Google internal research on gen AI, productivity and trust. Firecrawl snapshot saved on May 11, 2026.

Trust and perceived productivity findings. Do not treat as a tool-by-tool market-share source.


DORA says 39% of developers outside Google trust the quality of gen AI output only a little or not at all.


DORA 2024 says AI adoption significantly increases individual productivity, flow and job satisfaction.

DORA 2024 report overview with key findings on AI, productivity, flow, job satisfaction, delivery stability and throughput. Firecrawl snapshot saved on May 11, 2026.

The public overview describes directionality for delivery tradeoffs without all effect-size numbers.


DORA 2024 says AI adoption negatively impacts software delivery stability and throughput.


The METR arXiv RCT studied 16 developers completing 246 tasks in mature open-source projects where they had an average of five years of prior experience.

Measuring the Impact of Early-2025 AI on Experienced Open-Source Developer Productivity

arXiv abstract for a randomized controlled trial of 16 experienced open-source developers completing 246 tasks in mature projects with or without early-2025 AI tools. Firecrawl snapshot saved on May 11, 2026.

Small RCT in mature open-source projects with experienced maintainers. Strong negative signal for that setting, not a universal AI coding result.


The METR arXiv RCT says the allowed-AI condition primarily used Cursor Pro and Claude 3.5 or 3.7 Sonnet.


The METR arXiv RCT says developers forecast that AI would reduce completion time by 24% before tasks started.


The METR arXiv RCT says developers estimated after the study that AI reduced completion time by 20%.


The METR arXiv RCT found that allowing AI increased completion time by 19% in its setting.


The METR arXiv RCT says its slowdown result contradicted predictions from economics experts of 39% shorter completion time and ML experts of 38% shorter completion time.


The METR arXiv RCT reports that the paper contains 51 pages, 8 tables and 22 figures.