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A self correcting system for AI coding loops. Autonomous development with multi-modal review, backed up by git hooks and branch protection.

24 starsShell

Open-source CI for coding with AI

by sburl·Feb 13, 2026·6 points·0 comments

AI Analysis

●●SolidBig BrainShip It

Stacks git hooks, tests, and multi-model review to catch AI failures structurally.

Strengths
  • Swiss Cheese security model applies uncorrelated validation layers to catch AI drift.
  • Git hooks enforce conventions at commit-level without requiring agent memory.
  • Multi-model review (Claude + Codex) provides independent cross-checks from different blindspots.
Weaknesses
  • Audience is narrow: only teams running autonomous agents at scale.
  • No public demo or live deployment evidence; relies on conceptual clarity alone.
Target Audience

Developers building autonomous coding agents and teams using AI

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