An analysis of 100 million pull requests found Claude Code was the AI coding tool used most often in merged PRs, at 31%, ahead of GitHub Copilot at 23%. Agents were involved in 28% of merged PRs, but a median of just 0.5% were merged without human review.<...
VQV Signal
RESEARCH
WATCH
TECHNICAL
Jellyfish study: Claude Code is the AI tool most often behind merged pull requests
An analysis of 100 million pull requests found Claude Code was the AI coding tool used most often in merged PRs, at 31%, ahead of GitHub Copilot at 23%. Agents were involved in 28% of merged PRs, but a median of just 0.5% were merged without human review.<...
An analysis of 100 million pull requests found Claude Code was the AI coding tool used most often in merged PRs, at 31%, ahead of GitHub Copilot at 23%. Agents were involved in 28% of merged PRs, but a median of just 0.5% were merged without human review. Original post on X
VQV organizes public signals from inspectable sources. It does not independently verify the underlying report.
Signal Strength 88%
Technical label WATCH
Public Interest 53
Category RESEARCH
Reader Depth TECHNICAL
Signal Strength reflects source quality, relevance, freshness and evidence. Public Interest helps organize discovery; it is not proof of truth.
Public Interest components
Recognizable Entity Score 82
Practical Impact Score 28
Novelty Interest Score 70
Consequence Score 30
Curiosity Score 16
Shareability Score 64
VQV surfaced this signal because it is recent, relevant to AI Coding Tools, connected to Scobleizer News Pulse (X).
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