Agent PRs outperform human PRs at Shopify
A study by Shopify's CTO found that code reviewed by AI agents caused fewer production incidents than code reviewed only by humans.
Snapshot · Lex Fridman Podcast
#501 – DHH: Future of Programming, AI, Agentic Engineering, Vibe Coding & Linux
Explore episode
Aug 26, 2026
Where this was said
Best AI coding harnesses
At 2:54:05 · chapter starts 2:52:55
The harness discussion reveals how the meta-layer around models matters almost as much as model quality. DHH's workflow: Claude Code drives primary development in parallel Herder sessions, then every output gets a Codex review (which keeps finding legitimately broken things), then GitHub Copilot catches a final layer of issues at push time. He's irritated by Anthropic's petty restrictions — requiring CLAUDE.md instead of AGENTS.md, cutting off third-party subscription use — but acknowledges Claude Code's multi-agent session management is simply the best available. The Basecamp experiment is intellectually interesting: treating agents as asynchronous to-do assignees rather than real-time chat partners may be the right psychological frame, because you don't sit around waiting for a colleague to reply to a task. DHH is building the automated Omabot system to take this further — agents that process PRs on schedule and email him summaries, reducing the need for constant human-in-the-loop management.
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