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Machine readout · Software & AI

Developer AI Tool Usage Statistics 2026

This page collects published figures on how software developers use AI tools: how often they use them, which assistants and agents they pick, how far they trust the output, what surveys and controlled studies say about productivity, and how organizations measure the results. Sources are the developer surveys run by Stack Overflow, JetBrains, Atlassian, GitLab, Harness, Jellyfish, Sonar and Cloudsmith, GitHub's Octoverse platform data, Google's DORA research, METR's randomized studies and Veracode's model security tests. The data is global unless stated and covers 2025 and 2026.

Figures
52
Publishers
22
Updated
Nov 13, 2026

Quotable findings

By the DBotMaker research desk

  1. Finding 012026
    80%

    80% of respondents to Stack Overflow's 2026 Developer Survey, which drew 30,903 responses from 169 countries, used AI at least an hour per day.

    Source: Stack Overflow

  2. Finding 022026
    40%

    More than 40% of pull requests on GitHub started with an agent's first draft by September 2026, up from 17% in March 2026.

    Source: GitHub

  3. Finding 032025
    29%

    Trust in the accuracy of AI tools fell to 29% among developers in Stack Overflow's 2025 survey of more than 49,000 developers, from 40% in earlier years.

    Source: Stack Overflow

  4. Finding 042026
    39%

    In Sonar's 2027 State of Code survey of 1,026 developers and engineering managers, released in November 2026, 94% did not fully trust AI-generated code and only 39% completely agreed it is always checked before commit.

    Source: Sonar

  5. Finding 052025
    19%

    In METR's randomized study of 16 experienced open-source developers working on 246 real issues in early 2025, tasks took 19% longer when AI tools were allowed.

    Source: METR

  6. Finding 062026
    87%

    In Atlassian's 2026 State of Developer Experience report, 87% of developers said AI helps them ship work faster, but 72% experienced the same or more friction than before AI.

    Source: Atlassian

  7. Finding 072026
    65%

    AI generated or significantly assisted an average of 65% of the code developers committed, according to Sonar's survey released in November 2026.

    Source: Sonar

  8. Finding 082026
    29%

    Only 29% of organizations in Harness's State of AI-Driven Software Releases 2026 survey measured the impact of AI tools on their teams at all.

    Source: Harness

  9. On file52figures in 6 channels, each with the exact source sentence.Browse allCSV

THE BOT'S SHORT ANSWER

Most developers now use AI every day: 80% of respondents to Stack Overflow's 2026 survey used AI for at least an hour a day, and GitHub found more than 40% of pull requests started from an agent's draft by September 2026. Trust lags use: 94% of developers in Sonar's November 2026 survey do not fully trust AI-generated code, and only 39% say it is always checked before commit. Measured productivity is less clear than reported gains: METR's randomized study found experienced developers 19% slower with AI in early 2025, and its late-2025 follow-up could not rule out no effect.

52 FIGURES · 22 PUBLISHERS · NOVEMBER 13, 2026

Reading the numbers

Use is close to universal and has become heavy. Stack Overflow's 2026 survey found 80% of respondents using AI at least an hour a day and 73% using coding assistants or agents daily, while Google's 2025 DORA research put adoption at 90% of technology professionals. JetBrains found that more than half of employed developers now hand over 60% of their work tasks to agents. GitHub's platform data confirms the shift toward agents: more than 40% of pull requests started from an agent's draft by September 2026, up from 17% in March.

Trust has not kept pace with use. Stack Overflow measured trust in AI accuracy at 29% in 2025, and its 2026 survey shows that most of the trust developers do extend is conditional on being able to verify the output. Sonar's two 2026 surveys found that more than nine in ten developers do not fully trust AI-generated code, yet fewer than half say it is always checked before commit. DORA found 30% of respondents trusting AI only a little or not at all.

Productivity evidence splits along method. Surveys report large gains: over 80% of DORA respondents, 87% of Atlassian's developers and 89% of engineering leaders surveyed by Harness say AI made them more productive. METR's randomized trial of experienced open-source developers found the opposite in early 2025, a 19% slowdown, and its late-2025 follow-up estimated a speedup with confidence intervals that still include no effect. Atlassian's data also shows reported time savings falling between 2025 and 2026 as friction moves elsewhere.

The bottleneck has moved to review and measurement. Sonar estimates AI now writes or significantly assists 65% of committed code, and 53% of its respondents spend more time reviewing than writing. Harness found 81% of organizations reporting more time in code review, and Veracode's tests show AI-generated code still failing security checks on 38% of tasks in October 2026. Only 29% of organizations in one Harness survey measure AI's impact at all, so most teams are scaling the tools faster than they can judge the return.

Facts the bot knows

CH 01How many developers use AI tools, and how often

8 figures
  1. #00180%

    80% of respondents to Stack Overflow's 2026 Developer Survey, which drew 30,903 responses from 169 countries, used AI at least an hour per day.

    Stack Overflow, Stack Overflow Developer Survey 2026 (Jul 2026)

    Exact wording at the source
    Devs are using AI more than ever before in their daily work—80% of respondents from this year’s survey used AI at least an hour per day.
  2. #00273%

    73% of Stack Overflow's 2026 respondents used coding assistants and agents every day.

    Stack Overflow, AI: 2026 Stack Overflow Developer Survey (Jul 2026)

    Exact wording at the source
    The overwhelming majority of respondents now use coding assistants and agents daily (73%), with nearly a third of daily users spending upwards of four hours.
  3. #00366%

    Coding assistants and agents were the most common use of AI among Stack Overflow's 2026 respondents at 66%, ahead of general-purpose chatbots at 63%.

    Stack Overflow, AI: 2026 Stack Overflow Developer Survey (Jul 2026)

    Exact wording at the source
    Coding assistants and agents have pulled ahead as the dominant use case for AI (66%), outpacing even general-purpose LLM-powered chatbots (63%).
  4. #00485%

    85% of the 24,534 developers in JetBrains' 2025 Developer Ecosystem survey regularly used AI tools for coding, and 62% relied on at least one AI coding assistant, agent or code editor.

    JetBrains, The State of Developer Ecosystem 2025: Coding in the Age of AI, New Productivity Metrics, and Changing Realities (Oct 2025)

    Exact wording at the source
    AI is becoming a standard in developers’ lives: 85% of developers regularly use AI tools for coding and development, and 62% rely on at least one AI coding assistant, agent, or code editor.
  5. #005More than half

    More than half of employed developers in JetBrains' 2026 survey of 28,945 developers used AI agents in over 60% of their work tasks.

    JetBrains, The State of Developer Ecosystem 2026: A Decade of Understanding Developers (Nov 2026)

    Exact wording at the source
    More than half of employed developers use AI agents in over 60% of their work tasks.
  6. #00690%

    AI adoption reached 90% of the nearly 5,000 technology professionals in Google's 2025 DORA survey, a 14% increase on the previous year.

    Google (DORA), How are developers using AI? Inside our 2025 DORA report (Sep 2025)

    Exact wording at the source
    This year's report reveals a significant finding: AI adoption among software development professionals has surged to 90%, marking a 14% increase from last year.
  7. #00772%

    72% of developers who had tried AI used it every day, according to Sonar's survey of more than 1,100 developers published in January 2026.

    Sonar, Sonar Data Reveals Critical "Verification Gap" in AI Coding: 96% Don't Fully Trust Output, Yet Only 48% Verify It (Jan 2026)

    Exact wording at the source
    The study, which surveyed over 1,100 developers globally, confirms that AI adoption in coding has reached critical mass: 72% of developers who have tried AI use it every day, and AI accounts for 42% of all committed code—a volume that developers expect will rise to 65% by 2027.
  8. #00893%

    93% of organizations in Cloudsmith's 2026 Artifact Management Report used AI to speed up software development.

    Cloudsmith, The AI speed trap: Securing the future of software supply chains (2026)

    Exact wording at the source
    According to our 2026 Artifact Management Report, 93% of organizations use AI to accelerate their software development cycles.

Chart

Daily hours of AI use among daily AI users, 2026

Stack Overflow Developer Survey 2026, respondents who use AI daily (n = 10,926).

  • 4+ hours a day31%
  • 2 to 4 hours a day24%
  • 1 to 2 hours a day25%
  • Under 1 hour every day12%
  • Under 1 hour, not every day7%

Source: Stack Overflow, AI: 2026 Stack Overflow Developer Survey

CH 02Which AI tools and agents developers use

7 figures
  1. #00966%

    Claude Code (66%) and GitHub Copilot (59%) were the most used coding agents among Stack Overflow's 2026 respondents who use agents.

    Stack Overflow, AI: 2026 Stack Overflow Developer Survey (Jul 2026)

    Exact wording at the source
    Claude Code (66%) and GitHub Copilot (59%) are the leaders for coding agents.
  2. #01040%

    More than 40% of pull requests on GitHub started with an agent's first draft by September 2026, up from 17% in March 2026.

    GitHub, Octoverse: Commits, pushes, reach new highs in 2026 as developers build with agents (Oct 2026)

    Exact wording at the source
    By September 2026, more than 40% of pull requests on GitHub started with an agent’s first draft, up from 17% in March.
  3. #01155%

    55% of GitHub Copilot's monthly active users used agentic features in 2026, up from 35% a year earlier.

    GitHub, Octoverse: Commits, pushes, reach new highs in 2026 as developers build with agents (Oct 2026)

    Exact wording at the source
    Among GitHub Copilot’s monthly active users, 55% now use agentic features, up from 35% a year ago.
  4. #01261%

    In September 2026, 61% of GitHub Copilot users who picked a model themselves used more than one model across their sessions, up from 50% four months earlier.

    GitHub, Octoverse: Commits, pushes, reach new highs in 2026 as developers build with agents (Oct 2026)

    Exact wording at the source
    In September 2026, 61% of GitHub Copilot users who selected a model themselves used more than one model across their sessions, up from 50% four months earlier.
  5. #01380%

    Roughly 80% of new GitHub users in 2025 tried Copilot within their first week on the platform.

    GitHub, Octoverse: A new developer joins GitHub every second as AI leads TypeScript to #1 (Oct 2025)

    Exact wording at the source
    Roughly 80% of new GitHub users tried Copilot within their first week, showing that AI is no longer an advanced tool to grow into, but part of the default developer experience.
  6. #01464%

    64% of developers in Sonar's survey published in January 2026 had started using autonomous AI agents, and the average team used four different AI coding tools.

    Sonar, Sonar Data Reveals Critical "Verification Gap" in AI Coding: 96% Don't Fully Trust Output, Yet Only 48% Verify It (Jan 2026)

    Exact wording at the source
    For example, the average team now juggles four different AI coding tools, and 64% of developers have started to use autonomous AI agents.
  7. #01591%

    91% of organizations in GitLab's 2026 survey of 1,528 developers and technology buyers, run by The Harris Poll, had two or more AI coding tools in active use.

    GitLab, GitLab Research Reveals Organizations Are Generating AI Code Faster Than They Can Control It (Jun 2026)

    Exact wording at the source
    91% of organizations have two or more AI coding tools in active use and 78% report that developers are writing and committing code faster since adopting AI tools.

Chart

Share of GitHub pull requests started by an agent

GitHub platform data from Octoverse 2026; the September figure is a lower bound (more than 40%).

  • March 202617%
  • September 202640%

Source: GitHub, Octoverse: Commits, pushes, reach new highs in 2026 as developers build with agents

CH 03How much developers trust AI output

9 figures
  1. #01687%

    More than 87% of Stack Overflow's 2026 respondents had some level of trust in AI output, compared with 31% the year before, according to Stack Overflow.

    Stack Overflow, Stack Overflow Developer Survey 2026 (Jul 2026)

    Exact wording at the source
    This year, more than 87% of respondents had some level of trust in AI’s outputs, a huge increase from 31% last year.
  2. #01748%

    48% of Stack Overflow's 2026 respondents trusted AI when they could easily validate its answers, and only 16% trusted it for most tasks short of important work decisions.

    Stack Overflow, AI: 2026 Stack Overflow Developer Survey (Jul 2026)

    Exact wording at the source
    When asked when it’s acceptable to trust AI, 48% indicate they trust AI when they can easily validate the answers and only 16% extend that trust to most tasks that are not important work decisions.
  3. #01829%

    Trust in the accuracy of AI tools fell to 29% among developers in Stack Overflow's 2025 survey of more than 49,000 developers, from 40% in earlier years.

    Stack Overflow, Developers remain willing but reluctant to use AI: The 2025 Developer Survey results are here (Jul 2025)

    Exact wording at the source
    In fact, trust in the accuracy of AI has fallen from 40% in previous years to just 29% this year.
  4. #01945%

    45% of Stack Overflow's 2025 respondents named AI solutions that are almost right, but not quite, as their top frustration.

    Stack Overflow, Developers remain willing but reluctant to use AI: The 2025 Developer Survey results are here (Jul 2025)

    Exact wording at the source
    The number-one frustration, cited by 45% of respondents, is dealing with "AI solutions that are almost right, but not quite," which often makes debugging more time-consuming.
  5. #02024%

    24% of respondents to Google's 2025 DORA survey trusted AI a great deal or a lot, while 30% trusted it a little or not at all.

    Google (DORA), How are developers using AI? Inside our 2025 DORA report (Sep 2025)

    Exact wording at the source
    Our report uncovers a surprising "trust paradox": While 24% of respondents report a "great deal" (4%) or "a lot" (20%) of trust in AI, 30% trust it "a little" (23%) or "not at all" (7%).
  6. #02196%

    96% of developers in Sonar's survey published in January 2026 did not fully trust that AI-generated code is functionally correct, yet only 48% always checked it before committing.

    Sonar, Sonar Data Reveals Critical "Verification Gap" in AI Coding: 96% Don't Fully Trust Output, Yet Only 48% Verify It (Jan 2026)

    Exact wording at the source
    However, a critical disconnect remains: while 96% of developers report they do not fully trust that AI-generated code is functionally correct, only 48% state they always check their AI-assisted code before committing it.
  7. #02239%

    In Sonar's 2027 State of Code survey of 1,026 developers and engineering managers, released in November 2026, 94% did not fully trust AI-generated code and only 39% completely agreed it is always checked before commit.

    Sonar, Sonar Survey: AI Makes Code Abundant, but Code Confidence Remains Scarce (Nov 2026)

    Exact wording at the source
    Only 39% completely agree that AI-generated code is always checked before being committed, even though 94% don’t fully trust it.
  8. #02317%

    Only 17% of organizations in Cloudsmith's 2026 survey felt very confident in the security of AI-generated code.

    Cloudsmith, The AI speed trap: Securing the future of software supply chains (2026)

    Exact wording at the source
    Our survey data shows that only 17% of organizations feel very confident in the security of AI-generated code.
  9. #02460%

    60% of developers with 1 to 2 years of experience in JetBrains' 2026 survey said AI-generated solutions were better than their own, compared with 47% of those with 16 or more years.

    JetBrains, The State of Developer Ecosystem 2026: A Decade of Understanding Developers (Nov 2026)

    Exact wording at the source
    60% of developers with 1–2 years of experience say AI-generated solutions are better than their own, compared with 47% of those with 16 or more years of experience.

Chart

When developers trust AI output, 2026

Stack Overflow Developer Survey 2026, all respondents to the trust question (n = 14,304).

  • When I can verify it48%
  • Many tasks, not decisions16%
  • Low-risk tasks only16%
  • Don't trust it for most tasks12%
  • Many tasks and decisions7%

Source: Stack Overflow, Stack Overflow Developer Survey 2026

CH 04Productivity: what developers report and what studies measure

11 figures
  1. #02519%

    In METR's randomized study of 16 experienced open-source developers working on 246 real issues in early 2025, tasks took 19% longer when AI tools were allowed.

    METR, Measuring the Impact of Early-2025 AI on Experienced Open-Source Developer Productivity (Jul 2025)

    Exact wording at the source
    When developers are allowed to use AI tools, they take 19% longer to complete issues—a significant slowdown that goes against developer beliefs and expert forecasts.
  2. #02624%

    Developers in METR's early-2025 study expected AI to speed them up by 24% and, after the slowdown, still believed it had sped them up by 20%.

    METR, Measuring the Impact of Early-2025 AI on Experienced Open-Source Developer Productivity (Jul 2025)

    Exact wording at the source
    This gap between perception and reality is striking: developers expected AI to speed them up by 24%, and even after experiencing the slowdown, they still believed AI had sped them up by 20%.
  3. #027-18%

    In METR's late-2025 follow-up, returning developers from the original study had an estimated change in task time of -18% with AI, meaning faster work, but the confidence interval ran from -38% to +9%.

    METR, We are Changing our Developer Productivity Experiment Design (Feb 2026)

    Exact wording at the source
    For the subset of the original developers who participated in the later study, we now estimate a speedup of -18% with a confidence interval between -38% and +9%.
  4. #028-4%

    Among 47 newly recruited developers in METR's late-2025 study, the estimated change in task time was -4%, with a confidence interval from -15% to +9%.

    METR, We are Changing our Developer Productivity Experiment Design (Feb 2026)

    Exact wording at the source
    Among newly-recruited developers the estimated speedup is -4%, with a confidence interval between -15% and +9%.
  5. #02930% to 50%

    30% to 50% of developers in METR's late-2025 study said they chose not to submit some tasks because they did not want to do them without AI.

    METR, We are Changing our Developer Productivity Experiment Design (Feb 2026)

    Exact wording at the source
    When surveyed, 30% to 50% of developers told us that they were choosing not to submit some tasks because they did not want to do them without AI.
  6. #0303x

    In METR's survey of 349 technical workers in early 2026, the median self-reported speed change from AI tools was 3x.

    METR, Measuring the Self-Reported Impact of Early-2026 AI on Technical Worker Productivity (May 2026)

    Exact wording at the source
    The median self-reported speed change (which we expect to be higher than value change) is 3x.
  7. #03180%

    Over 80% of respondents to Google's 2025 DORA survey said AI had increased their productivity, and 59% reported a positive effect on code quality.

    Google (DORA), How are developers using AI? Inside our 2025 DORA report (Sep 2025)

    Exact wording at the source
    Significant productivity gains: Over 80% of respondents indicate that AI has enhanced their productivity.
  8. #03287%

    In Atlassian's 2026 State of Developer Experience report, 87% of developers said AI helps them ship work faster, but 72% experienced the same or more friction than before AI.

    Atlassian, AI is making developers faster. It's also exposing what's broken in software delivery (Oct 2026)

    Exact wording at the source
    87% of developers say AI helps them ship work faster, but 72% experience the same or more friction than before AI.
  9. #03325%

    The share of developers saving 10 or more hours a week with AI fell from 68% in Atlassian's 2025 survey to 25% in 2026.

    Atlassian, AI is making developers faster. It's also exposing what's broken in software delivery (Oct 2026)

    Exact wording at the source
    Even with faster output, time savings are falling: in 2025 68% of developers said they saved 10+ hours a week, compared with 25% in 2026.
  10. #03464%

    64% of engineering teams in Jellyfish's 2026 State of Engineering Management survey of more than 600 engineering professionals reported at least a 25% gain in developer velocity and productivity from AI.

    Jellyfish, The State of Engineering Management in 2026 (May 2026)

    Exact wording at the source
    Nearly two-thirds (64%) of engineering teams report achieving at least a 25% increase in developer velocity and productivity using AI.
  11. #03589%

    89% of engineering leaders in Harness's 2026 survey of 700 practitioners and managers said developer productivity had improved since adopting AI coding tools.

    Harness, AI has outpaced how engineering organizations measure developer productivity (The State of Engineering Excellence 2026) (May 2026)

    Exact wording at the source
    89% of engineering leaders say developer productivity has improved since adopting AI coding tools, and 88% say developer satisfaction has improved.

Chart

Self-reported value of work with AI versus without

METR survey of 349 technical workers, early 2026; March 2025 is a retrospective estimate and March 2027 is a forecast.

0 x0.6 x1.3 x1.9 x2.5 xMarch 2025: 1.3 xMarch 2025March 2026: 2 xMarch 2026March 2027 (forecast): 2.5 xMarch 2027 (forecast)

Source: METR, Measuring the Self-Reported Impact of Early-2026 AI on Technical Worker Productivity

CH 05Code review, quality and security

9 figures
  1. #03665%

    AI generated or significantly assisted an average of 65% of the code developers committed, according to Sonar's survey released in November 2026.

    Sonar, Sonar Survey: AI Makes Code Abundant, but Code Confidence Remains Scarce (Nov 2026)

    Exact wording at the source
    AI now generates or significantly assists an average of 65% of the code developers commit.
  2. #03753%

    53% of Sonar's 2026 respondents spent more time reviewing code than creating it, compared with 18% before they adopted AI tools, and 76% said they generate AI code faster than they can verify it.

    Sonar, Sonar Survey: AI Makes Code Abundant, but Code Confidence Remains Scarce (Nov 2026)

    Exact wording at the source
    Seventy-six percent say they generate AI code faster than they can verify it, and 53% spend more time reviewing code than creating it today (18% before adopting AI tools).
  3. #03881%

    81% of respondents in Harness's 2026 State of Engineering Excellence survey said developers spend more time in code review since adopting AI coding tools.

    Harness, AI has outpaced how engineering organizations measure developer productivity (The State of Engineering Excellence 2026) (May 2026)

    Exact wording at the source
    81% say developers spend more time in code review since adopting AI coding tools, with 28% reporting a significant increase of more than 30%.
  4. #03965%

    65% of developers in Atlassian's 2026 report regularly spent time correcting AI output.

    Atlassian, AI is making developers faster. It's also exposing what's broken in software delivery (Oct 2026)

    Exact wording at the source
    The report shows 65% of developers now regularly spend time correcting AI output.
  5. #04066%

    66% of developers in Stack Overflow's 2025 survey said they spend more time fixing almost-right AI-generated code.

    Stack Overflow, Developers remain willing but reluctant to use AI: The 2025 Developer Survey results are here (Jul 2025)

    Exact wording at the source
    In fact, 66% of developers say they are spending more time fixing "almost-right" AI-generated code.
  6. #04143%

    43% of respondents in GitLab's 2026 survey could not reliably tell AI-generated code from human-written code in their own codebase.

    GitLab, GitLab Research Reveals Organizations Are Generating AI Code Faster Than They Can Control It (Jun 2026)

    Exact wording at the source
    But speed is running ahead of control, with 43% of respondents reporting that they cannot reliably distinguish AI-generated code from human-written code in their own codebase.
  7. #04244 percent

    In Veracode's July 2026 tests of more than 100 models, AI-generated code failed security checks nearly 44% of the time when given no security-specific guidance.

    Veracode, LLMs Are Getting Smarter but Not Safer: Veracode 2026 GenAI Code Security Report (Jul 2026)

    Exact wording at the source
    When it comes to security, they fail nearly 44 percent of the time when given no security-specific guidance.
  8. #04362 percent

    Veracode's October 2026 tests of 18 models found the average security pass rate for AI-generated code rose from 56% to 62%, and vulnerable outputs fell from 44% to 38%.

    Veracode, Veracode Finds First Meaningful Gain in AI Code Security Since 2025 as Average Pass Rate Hits 62% (Oct 2026)

    Exact wording at the source
    today announced a jump from 56 percent to 62 percent in overall AI-generated code security, alongside a drop in vulnerabilities from 44 percent to 38 percent
  9. #04449%

    Only 49% of organizations in Harness's State of AI-Driven Software Releases 2026 survey had specific guardrails for AI-generated code.

    Harness, AI is writing more code than ever. Your release process hasn't kept up (Mar 2026)

    Exact wording at the source
    The guardrails gap is real, and it is growing Only 49% of organizations have specific guardrails in place for AI-generated code.

CH 06Measurement, strategy and developer sentiment

8 figures
  1. #04551%

    51% of tech managers in JetBrains' 2026 survey said their organizations track token usage, but only 30% counted it among the most insightful AI metrics.

    JetBrains, The State of Developer Ecosystem 2026: A Decade of Understanding Developers (Nov 2026)

    Exact wording at the source
    51% of tech managers say their organizations track it, but only 30% count it among the most insightful metrics.
  2. #04634%

    More than half of tech managers at small organizations in JetBrains' 2026 survey were satisfied with the return on AI spending, compared with 34% at large organizations.

    JetBrains, The State of Developer Ecosystem 2026: A Decade of Understanding Developers (Nov 2026)

    Exact wording at the source
    More than half of tech managers at small organizations are satisfied with the return on their AI spending, compared with 34% at large ones.
  3. #04729%

    Only 29% of organizations in Harness's State of AI-Driven Software Releases 2026 survey measured the impact of AI tools on their teams at all.

    Harness, AI is writing more code than ever. Your release process hasn't kept up (Mar 2026)

    Exact wording at the source
    Only 29% of organizations are actually measuring the impact of AI tools on their teams at all.
  4. #04846%

    Only 46% of organizations in Jellyfish's 2026 survey actively tracked AI-specific metrics such as adoption rates, acceptance rates and model usage.

    Jellyfish, In 2026 Engineering Leaders Are Shifting from AI Adoption to AI Accountability (Jun 2026)

    Exact wording at the source
    At the same time, only 46% of organizations are actively tracking AI-specific metrics such as adoption rates, acceptance rates, and model usage.
  5. #04936%

    Only 36% of Sonar's 2026 respondents said their team measures AI's productivity impact and can see the results, and 22% were unsure what return AI coding had delivered.

    Sonar, Sonar Survey: AI Makes Code Abundant, but Code Confidence Remains Scarce (Nov 2026)

    Exact wording at the source
    Only 36% say their team measures AI’s productivity impact and that they can see the results, and 22% are unsure what return AI coding has delivered.
  6. #05017%

    Only 17% of developers and 23% of leaders in Atlassian's 2026 report said their organization had a clearly communicated and implemented AI strategy.

    Atlassian, AI is making developers faster. It's also exposing what's broken in software delivery (Oct 2026)

    Exact wording at the source
    Only 17% of developers and 23% of leaders say their organisation has a clearly communicated and implemented AI strategy
  7. #05160%

    60% of developers in Atlassian's 2026 report said AI usage is treated as a productivity signal, and 41% sometimes used AI more than necessary because they felt expected to.

    Atlassian, AI is making developers faster. It's also exposing what's broken in software delivery (Oct 2026)

    Exact wording at the source
    60% of developers say AI usage is treated as a productivity signal , and 41% sometimes use it more than necessary because they feel expected to
  8. #05260%

    More than 60% of Stack Overflow's 2026 respondents had a favorable attitude toward using AI tools in their work.

    Stack Overflow, Stack Overflow Developer Survey 2026 (Jul 2026)

    Exact wording at the source
    And with increased usage has come increased favor: now more than 60% of respondents have a favorable attitude towards AI tool use in their work.

Asked and answered

Questions readers ask

QWhat percentage of developers use AI tools?
ANearly all professional developers use them regularly. Google's 2025 DORA research found 90% adoption among technology professionals, JetBrains found 85% of developers regularly using AI for coding in 2025, and 80% of Stack Overflow's 2026 respondents used AI for at least an hour a day.
QDo developers trust AI-generated code?
AMostly not without checking it. Stack Overflow found trust in AI accuracy at 29% in 2025, and in 2026 the most common answer was trusting AI only when the output can be easily verified (48%). Sonar's November 2026 survey found 94% of developers do not fully trust AI-generated code.
QDoes AI make developers more productive?
ADevelopers say it does, but controlled studies are mixed. Over 80% of DORA's 2025 respondents reported higher productivity, while METR's randomized trial found experienced open-source developers took 19% longer with AI in early 2025, and its late-2025 follow-up estimated a speedup that was not statistically clear.
QWhich AI coding tools do developers use most?
AAmong Stack Overflow's 2026 respondents who use coding agents, Claude Code (66%) and GitHub Copilot (59%) led. Many developers use several tools and models: GitLab found 91% of organizations run two or more AI coding tools, and 61% of GitHub Copilot users who choose a model used more than one in September 2026.
QHow much code is written by AI?
AEstimates are rising quickly. Sonar's survey released in November 2026 found AI generates or significantly assists an average of 65% of committed code, up from 42% in its survey published that January, and GitHub found more than 40% of pull requests started with an agent's draft by September 2026.

Where these numbers come from

We selected figures from the organizations that collected the data: developer surveys published by the companies that ran them, GitHub's own platform telemetry, Google's DORA research program, METR's randomized studies and surveys, and Veracode's tests of AI models. Each quote was checked against the source page on the date shown. Samples and questions differ: Stack Overflow and JetBrains survey individual developers, while GitLab, Harness, Jellyfish and Cloudsmith survey organizations or engineering leaders, and several of these companies sell tools related to what they measure. Trust and productivity questions are worded differently across surveys, so read each figure on its own terms rather than as one trend. METR's randomized studies are small and focus on experienced open-source developers, and Veracode's figures come from lab tests of models, not audits of shipped software. We store the sentence each number appears in, and a script loads the publisher's page again to make sure that sentence is still there. Our methodology has the details.

Input log

Sources

  1. 01Atlassian. AI is making developers faster. It's also exposing what's broken in software delivery (Oct 2026).
  2. 02Cloudsmith. The AI speed trap: Securing the future of software supply chains (2026).
  3. 03GitHub. Octoverse: Commits, pushes, reach new highs in 2026 as developers build with agents (Oct 2026).
  4. 04GitHub. Octoverse: A new developer joins GitHub every second as AI leads TypeScript to #1 (Oct 2025).
  5. 05GitLab. GitLab Research Reveals Organizations Are Generating AI Code Faster Than They Can Control It (Jun 2026).
  6. 06Google (DORA). How are developers using AI? Inside our 2025 DORA report (Sep 2025).
  7. 07Harness. AI has outpaced how engineering organizations measure developer productivity (The State of Engineering Excellence 2026) (May 2026).
  8. 08Harness. AI is writing more code than ever. Your release process hasn't kept up (Mar 2026).
  9. 09Jellyfish. The State of Engineering Management in 2026 (May 2026).
  10. 10Jellyfish. In 2026 Engineering Leaders Are Shifting from AI Adoption to AI Accountability (Jun 2026).
  11. 11JetBrains. The State of Developer Ecosystem 2025: Coding in the Age of AI, New Productivity Metrics, and Changing Realities (Oct 2025).
  12. 12JetBrains. The State of Developer Ecosystem 2026: A Decade of Understanding Developers (Nov 2026).
  13. 13METR. Measuring the Impact of Early-2025 AI on Experienced Open-Source Developer Productivity (Jul 2025).
  14. 14METR. We are Changing our Developer Productivity Experiment Design (Feb 2026).
  15. 15METR. Measuring the Self-Reported Impact of Early-2026 AI on Technical Worker Productivity (May 2026).
  16. 16Sonar. Sonar Data Reveals Critical "Verification Gap" in AI Coding: 96% Don't Fully Trust Output, Yet Only 48% Verify It (Jan 2026).
  17. 17Sonar. Sonar Survey: AI Makes Code Abundant, but Code Confidence Remains Scarce (Nov 2026).
  18. 18Stack Overflow. Stack Overflow Developer Survey 2026 (Jul 2026).
  19. 19Stack Overflow. AI: 2026 Stack Overflow Developer Survey (Jul 2026).
  20. 20Stack Overflow. Developers remain willing but reluctant to use AI: The 2025 Developer Survey results are here (Jul 2025).
  21. 21Veracode. LLMs Are Getting Smarter but Not Safer: Veracode 2026 GenAI Code Security Report (Jul 2026).
  22. 22Veracode. Veracode Finds First Meaningful Gain in AI Code Security Since 2025 as Average Pass Rate Hits 62% (Oct 2026).

Cite this page

Link to this page or to a single numbered figure. If you reuse a number, name the organization that released it in the first place.

DBotMaker. (2026, November 13). Developer AI Tool Usage Statistics 2026. https://dbotmaker.io/developer-ai-tool-usage-statistics

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Found a number that changed or a source that moved? Email editorial@dbotmaker.io. We plan to check this page again by January 12, 2027.

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