what we learned by analyzing 1M AI generated PRs
Conference Context
- Date/time: 2026-06-29 · 1:55pm-2:15pm
- Track/room: track TBD · Expo Stage 3 SW
- Speaker(s): TBA
- Session type/status: session · confirmed
- Track: track TBD
- Room: Expo Stage 3 SW
- Session type: session
- Status: confirmed
Session Description
Background coding agents are quickly moving from novelty to real-world software development workflows. Based on Greptile’s analysis of millions of pull requests across 65,000 organizations, this talk explores how often end-to-end AI-generated Pr's are being used and how their quality compares to human-written code. The data shows detectable agent-generated Pr's grew from under 1% in February 2025 to 27.6% in April 2026, with early quality signals like revert rates and code churn suggesting these agents may already be competitive in serious codebases.
Media Evidence
No related AI Engineer channel video found yet.
Evidence Graph
This evidence graph is generated from currently linked source material: official schedule text, related video pages, cached transcripts, visible slide text, dense/reconstructed slide pages, and AI slide-classification audits.
Media Signals
No linked video, transcript, or slide source has been attached yet.
Agent Reading Notes
Use these signals to refine the synopsis, topic links, people/company context, and method notes. If a source is a related external video rather than an exact official recording, keep it framed as supporting evidence.
Transcript Status
No official session recording transcript was found by exact title match on the AI Engineer YouTube channel during this run.
Notes
- Pending transcript synthesis when an official recording or confirmed matching video is available.
Synthesis
Synthesized Breakdown
what we learned by analyzing 1M AI generated PRs ## Conference Context - Date/time: 2026-06-29 · 1:55pm-2:15pm - Track/room: track TBD · Expo Stage 3 SW - Speaker(s): TBA - Session type/status: session · confirmed - Track: track TBD - Room: Expo Stage 3 SW - Session type: session - Status: confirmed ## Session Description Background coding agents are quickly moving from novelty to real-world software development workflows. Based on Greptile’s analysis of millions of pull requests across 65,000 organizations, this talk explores how often end-to-end AI-generated Pr's are being used and how their quality compares to human-written code. The data shows detectable agent-generated Pr's grew from under 1% in February 2025 to 27.6% in April 2026, with early quality signals like revert rates and code churn suggesting these agents may already be competitive in serious codebases. ## Media Evidence No related AI Engineer channel video found yet.
Speaker And Company Context
- No speaker profile is attached in the official schedule data.
Topics Covered
Derived Links And Source Material
Novel Concepts / Clever Methods
- No highlighted novel concept has been detected yet.
Evidence Boundary
This synthesis is based on the official schedule and linked source pages. It should be revisited when exact session recordings or transcript-backed secondary sources are available.