---
title: "what we learned by analyzing 1M AI generated PRs"
category: "talks"
date: "2026-06-29"
time: "1:55pm-2:15pm"
track: "Expo Stage 3 SW"
room: "Expo Stage 3 SW"
speakers: []
sourceLabels: ["Official conference schedule", "Public YouTube metadata"]
scheduleTrack: ""
scheduleRoom: "Expo Stage 3 SW"
scheduleLabels: ["Expo Stage 3 SW", "session", "confirmed"]
---
# 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
- [[coding-agents]]

### 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.