Multi-Agent Code Review: Deploy Features While You Sleep
"A whole feature deployed while I'm out on a walk."
That's not a dream. It's what happens when you let AI agents manage your code reviews autonomously.
The Problem with Code Reviews
Every developer knows the drill:
- Write code — the fun part
- Open PR — easy enough
- Wait for review — hours to days
- Address feedback — context-switch back
- Wait again — more delays
- Finally merge — if you're lucky
Code reviews are essential but they're also the biggest bottleneck in modern development. Waiting for human reviewers delays shipping. Context-switching between reviews and feature work kills productivity.
The Solution: Multi-Agent Orchestration
What if you could hand off the entire review process to a team of AI agents?
Here's the workflow:
Idea → OpenClaw → [Claude + Codex debate] → Code → Tests → PR → Merged
How It Works
1. Describe your feature Tell your OpenClaw what you want to build. Natural language, no specs required.
2. OpenClaw orchestrates the agents Your OpenClaw manages multiple AI models—Claude for reasoning and architecture, Codex for implementation. They debate approaches, challenge each other's code, and iterate.
3. Autonomous review cycles The agents review each other's output. Claude checks Codex's implementation for edge cases. Codex validates Claude's architecture is actually implementable. Back and forth until both agree.
4. You get notified when it's done A complete feature, reviewed, tested, and ready to merge. All while you were walking the dog.
Real Results
| Traditional | Multi-Agent |
|---|---|
| 2-3 days per feature | Hours |
| Constant context-switching | Set and forget |
| Human bottleneck | Parallel execution |
| Inconsistent review quality | Deterministic standards |
Why This Works
AI agents don't get tired. They don't have other meetings. They don't forget context between sessions.
When you let Claude and Codex debate, you get:
- Diverse perspectives — Different models catch different issues
- No ego — Agents accept feedback without defensiveness
- Consistent standards — Same quality bar every time
- 24/7 availability — Features ship while you sleep
Deploy Securely with Clawctl
Multi-agent workflows are powerful, but they need guardrails:
- Audit logging — Every agent decision is recorded
- Human-in-the-loop — Approve sensitive operations before execution
- Kill switch — Stop runaway agents instantly
- Sandboxed execution — Agents can't access what they shouldn't
Clawctl wraps your OpenClaw with enterprise security so you can trust autonomous workflows.
Get Started
- Deploy your OpenClaw with Clawctl
- Configure your LLM keys (Claude + Codex)
- Set up your code review skill
- Start shipping features while you sleep
Ready to automate your development workflow? Get started with Clawctl.
Inspired by @localghost's multi-agent setup.