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Get a second pair of AI eyes on every code change

“I'm the only one reviewing my code (or my AI's code) and things slip through.”

Have a separate AI pass review each pull request for bugs, security and style. It works best as a draft you edit, not an auto-approve button.

Fix it yourself in 3 steps

  1. Write a short review checklist: correctness, security, tests, and your house style.
  2. Point a reviewer agent at the diff (in a fresh session, not the one that wrote the code) and ask for findings ranked by severity.
  3. You read the findings, keep the real ones, and post the review yourself.

Copy this prompt

Review this pull request diff as a skeptical senior engineer. Use this checklist: [checklist]. List findings ranked high/medium/low, each with file, line, why it matters and a suggested fix. Say 'no issues found' for any checklist item you checked and passed. Do not approve, merge or post comments — stop after the list.

Fill in the [brackets]. Each prompt says when the AI should stop, so it doesn't wander off.

Agents people used for this: Claude Code, Codex, Meta Muse, Hermes Agent.

Inspired by real examples collected at agentusecases.ai.

📚 11 real stories of people doing this with AI agents

Collected at AgentUseCases.ai.

Tools for this

#1 · Our pick

Claude Code

Best for: Serious work on real repos

Anthropic's agent for your terminal, IDE and desktop. Reads the whole repo, runs commands and tests, and handles large multi-file changes well.

Visit Claude Code ↗
#2

OpenAI Codex

Best for: Delegating tasks as PRs

OpenAI's coding agent, in the CLI and in the cloud. Good at handing off well-scoped tasks that come back as pull requests.

Visit OpenAI Codex ↗
#3

Hermes Agent

Best for: An open agent that learns your routines

Nous Research's open-source agent that remembers what it learns and can run on your own machine or server, with any model you choose.

Visit Hermes Agent ↗