deliberation
Reduces decision risk in code generation by collecting diverse model perspectives on architecture, implementation, and trade-offs—catching blind spots a sing…
Ask Codex, Gemini/Antigravity, Grok (xAI), and 300+ more models through OpenRouter including Qwen, Kimi, DeepSeek for second opinions or arbiter-mediated consensus inside Claude Code.
- Ask Claude to compare architecture decisions across multiple AI models before implementation
- Generate consensus code reviews by querying 300+ models through a single interface
- Find the best approach to a technical problem by getting second opinions from different models
Reduces decision risk in code generation by collecting diverse model perspectives on architecture, implementation, and trade-offs—catching blind spots a single AI might miss.
Engineering teams evaluating AI-assisted code decisions across multiple domains or requiring consensus-driven architecture reviews.
https://github.com/antonbabenko/deliberation
By antonbabenko
How to Get It
claude plugins install antonbabenko/deliberation
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:
Compare architecture decisions across multiple AI models before implementation
Trust Signals Auto-scanned
Community Pulse Growing
Discussed on Hacker News
- Polis: Open-source platform for large-scale civic deliberation — Hacker News · 343 pts
- White House told federal health agency to classify coronavirus deliberations — Hacker News · 275 pts
- Deliberation increases the wisdom of crowds — Hacker News · 71 pts
3 mentions across 1 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 40 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.
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Evaluation
Scored from trust signals (evidence-eval-v1): 40 GitHub stars; contributors unknown; last commit 0d ago; license MIT.