The Stash

Official-source signals

AI adoption and trust signals (2026)

Snapshot of adoption velocity and trust risk for AI coding workflows, based on large-sample developer and platform reports.

Updated 2/18/2026 · 12 signals · 7 sources

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Key adoption and trust signals

  • Signal

    GitHub Octoverse 2025

    GitHub surpassed 180 million developers (+50M in one year)

    Developer growth signals expanding global software participation and opportunity.

    Open source
  • Signal

    GitHub Octoverse 2025

    4.3 million projects on GitHub now use AI

    AI-native and AI-assisted development is becoming standard at project level.

    Open source
  • Signal

    JetBrains Developer Ecosystem 2025

    JetBrains surveyed 24,534 developers across 194 countries

    Large global sample size provides a broad signal on tooling and workflow behavior.

    Open source
  • Signal

    JetBrains Developer Ecosystem 2025

    85% of developers regularly use AI tools

    Regular AI usage confirms broad integration into mainstream engineering tasks.

    Open source
  • Signal

    JetBrains Developer Ecosystem 2025

    62% rely on at least one AI coding assistant, editor, or agent

    Assistant reliance is now common enough to influence baseline team tooling decisions.

    Open source
  • Signal

    JetBrains Developer Ecosystem 2025

    68% expect AI proficiency to become a job requirement

    AI capability is increasingly treated as a core professional skill in software roles.

    Open source
  • Signal

    Stack Overflow 2025 survey press release

    51% of professional developers use AI tools daily

    Daily AI usage shows sustained workflow integration rather than occasional experimentation.

    Open source
  • Signal

    Stack Overflow 2025 survey press release

    46% of professional developers do not trust AI output accuracy

    Trust and verification remain critical, so teams still need strong review and quality guardrails.

    Open source
  • Signal

    Stack Overflow 2025 survey press release

    AI agents: 31% using now, 17% planning, 38% no plans

    Agent adoption is growing but not universal, indicating mixed readiness across teams.

    Open source
  • Signal

    Stack Overflow 2025 survey press release

    Among AI users: ChatGPT 82%, GitHub Copilot 68%

    Tool share data shows where user familiarity is currently concentrated.

    Open source
  • Signal

    Stack Overflow 2025 survey press release

    AI IDE usage: Cursor 18%, Claude Code 10%, Windsurf 5%

    Specialized AI coding environments are gaining share relative to traditional IDE-only workflows.

    Open source
  • Signal

    Stack Overflow Developer Survey 2025 (AI section)

    84% of developers use or plan to use AI tools

    Latest Stack Overflow Developer Survey 2025 signals AI has shifted from experimental to mainstream in dev workflows.

    Open source

Report visuals and infographics

Stack Overflow 2025 AI sentiment chart showing developer AI usage and sentiment breakdown.
Stack Overflow

July 29, 2025

2025 Developer Survey (AI)

Largest annual developer sentiment dataset with detailed AI usage, trust, and workflow impact signals.

  • 84% of developers use or plan to use AI tools in their workflow.
  • 51% of professional developers report daily AI tool usage.
  • 46% of professionals say they do not trust AI output accuracy.
Open report
GitHub Octoverse 2025 top metrics infographic with developer and AI project counts.
GitHub

November 6, 2025

Octoverse 2025: AI, Open Source, and Global Developer Growth

GitHub's annual state-of-development report tracking global contributor growth and AI adoption at project level.

  • 180M+ developers are now on GitHub globally.
  • 4.3M projects on GitHub now use AI.
  • 1/sec new developer joined GitHub throughout 2025.
Open report
DORA Report 2025 hero graphic.
Google Cloud / DORA

2025 report

DORA Report 2025

DORA's annual software delivery research covering AI usage, platform engineering maturity, and delivery performance.

  • 90% of professionals use AI in day-to-day work (DORA 2025).
  • 90% of organizations report using an internal developer platform.
  • 76% of organizations now have a dedicated platform team.
Open report

What this means for end users and buying teams

  • Adoption is no longer optional: baseline team workflows should assume AI-assisted coding.
  • Trust remains the bottleneck: organizations need test gates and review checklists before shipping AI-generated output.
  • Tool familiarity is concentrated in a small set of products, so migration friction is often lower than expected.
  • As AI usage becomes a job-level requirement, publish repeatable onboarding docs for your chosen tool stack.

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Sources