hubo
Reduces code review bottlenecks by automating iterative refinement cycles.
Two agents spar over one codebase until every review finding is reconciled.
- Ask Claude to review code changes and have two agents debate findings until they agree
- Generate a final reconciled code review by having agents challenge each other's critiques
- Automate thorough codebase review by running adversarial agents against pull requests
Reduces code review bottlenecks by automating iterative refinement cycles. Agents debate findings until consensus, lowering review cycles and catching edge cases that single-pass reviews miss.
Development teams managing high-volume pull requests seeking faster, more thorough asynchronous code review workflows.
https://github.com/h0ngcha0/hubo
By h0ngcha0
How to Get It
claude plugins install h0ngcha0/hubo
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Review code changes and have two agents debate findings until they agree
Trust Signals Auto-scanned
Community Pulse New
- Show HN: Hubo – two agents that implement and review code until they agree — Hacker News · 11 pts
1 mentions across 1 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 26 GitHub stars; contributors unknown; last commit 0d ago; license MIT.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
How to evaluate tools before deploying →
Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
Scored from trust signals (evidence-eval-v1): 26 GitHub stars; contributors unknown; last commit 0d ago; license MIT.