1 in 7 PRs now involve AI agents— 14X since early 2024
Based on AI review activity observed across 40.3M pull requests (2022–2025)
AI Agent Participation
AI code reviews went from rare to mainstream in three years#
AI participation grew from under 1% in 2022 to over 14% today, with steady adoption across thousands of organizations. This reflects a structural shift in how code is reviewed.
The Long Arc of Adoption
Different metrics surfaced different leaders#
CodeRabbit led by pull request volume, while Copilot dominated organizational adoption. Leadership shifted depending on whether impact was measured by activity or reach.
Agent Leaderboard
| Rank | Agent | Pull Requests | Total Events |
|---|---|---|---|
| 1 | CodeRabbit | 632,256 | 2,706,240 |
| 2 | Copilot | 561,382 | 1,934,836 |
| 3 | Gemini | 174,766 | 542,368 |
| 4 | Sourcery AI | 131,900 | 314,422 |
| 5 | ChatGPT | 87,617 | 159,614 |
| 6 | Greptile | 54,564 | 220,387 |
| 7 | Amazon Q | 49,563 | 430,454 |
| 8 | Cursor | 48,770 | 129,747 |
| 9 | Claude | 24,916 | 58,230 |
| 10 | Ellipsis | 24,516 | 67,441 |
Ranked by distinct PRs each agent participated in during 2025.
Platform giants dominated market adoption#
Copilot’s native GitHub integration led org adoption. ChatGPT overtook Gemini in adoption despite Gemini’s PR momentum. CodeRabbit held a strong #2 position against the giants.
Cumulative Org Adoption by Agent (2025)
Note: Org adoption is based on agent activity in public repositories only.
A long tail of AI agents emerged, and some churned#
Beyond platform leaders and high-traction tools, dozens of AI agents showed measurable PR activity. At the same time, some early entrants, including Korbit, exited the market, reflecting rapid experimentation and turnover.
Long-Tail AI Agents by Adoption
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Methodology
What this report measures
A pull request counts as AI-participated if at least one AI agent submits a review or comment on that PR.
Data source
- •Source: GitHub Archive + PullFlow Anonymized
- •Scope: Public GitHub events (reproducible from the same source)
- •Events: Reviews, review comments, and issue comments on pull requests
- •Time range: 2022–2025 snapshots; monthly in 2025
Repository selection
To focus on meaningful code review activity, we filter to repositories that meet:
Agent identification
An AI code review agent is a bot account that uses an LLM to analyze code or diffs and creates review or issue comments on pull requests.
Connect GitHub, Slack, IDEs, and AI agents
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Tom Preston-Werner · Co-Founder, GitHub