🎙️ How I AI: Build an AI code review bot in 30 minutes + Claude Code for normal people
- ID
- 12766
- Status
- summarized
- Published
- 10 Aug 2026, 11:01 PM
- Fetched
- 11 Aug 2026, 12:34 AM
- Provider
- Lenny's Newsletter
- Category
- product-startup
- Original URL
- https://www.lennysnewsletter.com/p/how-i-ai-build-an-ai-code-review
- Source URL
- https://www.lennysnewsletter.com/feed
Summary
- Score
- 7.0
- Created
- 11 Aug 2026, 12:35 AM
- Tags
- Audience
- developersvibe_codersai_agent_users
What happened
Claire built an AI code review bot in a single Codex session using Vercel Eve that scores PRs across six dimensions (change size, blast radius, reversibility, data/security, operational impact, test/CI completion), auto-approves anything scoring below 24 points, and routes anything above 64 to a human via Slack. Intercom's comparable AI review system ships PRs 5x faster than human-reviewed ones with a lower revert rate. Vercel Eve handles the plumbing (connectors, OAuth, sandboxing, routing) so the build work is writing Markdown instructions, and Codex's browser-use feature automated most of the Slack bot and GitHub app permission setup.
Why it matters
If you're shipping AI-generated PRs, you can adopt this exact risk-scoring model—six dimensions, sub-24 auto-approve, above-64 human review—without Vercel Eve, as a repeatable rule set to replace ad-hoc judgment calls on whether a PR needs human eyes. The Intercom data point (5x faster, lower revert rate) is the evidence to justify investing in this workflow to your team or stakeholders.
Discussion angle
Is the six-dimension risk scoring model portable to your own stack without Vercel Eve, and where do you set the thresholds for your codebase's blast radius and reversibility?