Claude-Codex Peer-Review Workflow for Improved AI Code Quality
A practical, reproducible method using Claude for code generation and Codex CLI for cross-model review to catch blind spots and enhance debugging.
Practical Summary
This workflow involves using Claude to build code and then implementing a Codex-ideation skill (with provided verbatim code) to have Codex act as a peer reviewer. The process includes creating specific skill files (SKILL.md, codex.py) and updating AGENTS.md, with wrapper behaviors for session management and iterative conversation. This setup ensures different AI models cross-verify work, reducing errors from self-review blind spots.
Why It Matters
This approach offers a concrete, implementable strategy for optimizing AI coding workflows by leveraging multiple models for quality control, potentially reducing bug-related costs and improving development efficiency without requiring major infrastructure changes.
X post: User: @PawelHuryn Post ID: 2063899498259128670 Text: Yes to tip 5. One upgrade: don't let the model check its own work.
The model that wrote the bug shares the blind spot that caused it. Self-review catches the typos and misses the thinking.
So I have Claude build, then a Codex skill reviews it. Different model, different blind spots. That's the step that caught what self-verification didn't.
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The skill, verbatim. Paste into Claude Code and it builds it:
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Create a codex-ideation skill for this repo.
Goal: let Claude use Codex CLI as a peer-review partner, not a one-shot tool.
Create: 1. .claude/skills/codex-ideation/SKILL.md 2. .claude/skills/codex-ideation/scripts/codex.py 3. AGENTS.md update if missing
Skill behavior: - Treat Codex as a peer, not a tool - Open with context, goal, ideas, reasoning - Follow up conversationally, not with new structured prompts - Iterate until both agents would defend the result against their own critique - Human arbitrates intent
Wrapper behavior: - Start: codex exec --skip-git-repo-check -s read-only " " - Follow-up: codex exec resume --last " " - Close stdin with subprocess input="" so Codex does not hang - Track active session with Temp/.codex_active - Support --read FILE for long briefs - Locate Codex via CODEX_BIN, PATH, or OpenAI ChatGPT VS Code extension
AGENTS.md tells Codex to read CLAUDE.md as the source of truth. Metrics: {like_count=5, reply_count=3, repost_count=1, view_count=198} Matched query: ("AI 编程" OR "AI编程" OR "AI coding" OR "智能体" OR "Claude Code" OR "Codex" OR "Cursor" OR "Trae" OR "通义灵码") min_faves:5 Quoted post: Quoted user: @bcherny Quoted post ID: 2063792263067754658 Quoted text: Seeing a number of benchmarks showing Opus is the best model for long-running work.