A practical checklist for reviewing Cursor, Claude Code, Codex, or Copilot-agent patches before merge.
AI coding agents are useful because they can make large changes quickly.
That is also the reason I do not want to merge their patches just because the final answer says “done”.
The risky failure mode is not usually obvious broken code. It is a plausible patch that quietly touches a risky area.
Here is the checklist I use before merging AI-agent generated diffs.
1. Did dependencies change?
I’m testing a small AI memory reliability checklist. The question is simple: When an AI agent...
If you've run more than one AI coding agent on the same project, you already know the failure mode....
AI coding agents are getting good enough that they no longer feel like autocomplete. Tools like...
An AI agent can make CI go green without making the code right. Here's how that happens, and how far you can get catching it.
A practical guide for AI app builders to give coding agents evidence, repo maps, memory, and verification steps before they touch…
Building a signed handoff protocol for AI coding agents If you run more than one AI coding...
