What we learned by analyzing 1M AI-generated PRs
Daksh Gupta
- When
- Tuesday, June 3012:05 PM – 12:25 PM · 20 min
- Where
- Main StageSan Francisco, CA · imported from ai.engineer's public schedule feed
About this session
We analyzed >1M end-to-end AI generated PRs reviewed by Greptile to understand what types of bugs they tend to create and some strategies on mitigating them. For instance, did you know that Claude Code is nearly 3X more likely than Codex to introduce auth bypass vulnerabilities?
Speaker
co-founder/CEO, Greptile
Daksh is the co-founder/CEO of Greptile. Greptile is building AI agents that review code changes for 7,000+ companies like Nvidia, Coinbase, and Scale. It has raised $30M from Benchmark, YC, Paul Graham and others. Before this, Daksh studied computer science at Georgia Tech
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For developers: this programme is open data — JSON, iCal, schedule XML and an MCP endpoint.Show endpointsHide
- JSONEvery published session and speaker, in one request./aie-worldsfair-2026-import/feed.json
- iCalSubscribe in Google, Apple or Outlook Calendar./aie-worldsfair-2026-import/feed.ics
- Schedule XMLfrab / pentabarf — the format conference apps import./aie-worldsfair-2026-import/feed.xml
- MCP + RESTPoint Claude at the programme. OpenAPI 3.1 included./agents
No key, no signup, CORS open. Everything here is generated from the same data the organisers edit.