Sentrux gives AI coding agents a real-time architectural sensor — 3.2k stars, pure Rust
Arindam_1729 · x · 2026-09-06
Open-source Sentrux (pure Rust, 3.2k GitHub stars) addresses a blind spot in terminal-first AI coding workflows: agents emit a stream of modified files, but developers lose architectural visibility — dependency tangles, module growth, and cycles accumulate across sessions while the terminal shows only success messages.
How it works:
- Scans the codebase in real time and visualizes files, dependencies, and architectural relationships as a live treemap, highlighting files as the agent modifies them
- Five root-cause metrics (modularity, dependency structure, etc.) feed one 0–10,000 quality score updated in milliseconds
- MCP integration and a rules engine plug the sensor into the agent's feedback loop, enabling recursive self-improvement of code quality
Demo: even with good prompts, Claude Code Opus 4.6 building a FastAPI project lands at 6772 — not because it can't do better, but without a sensor it doesn't know what to improve. One-line install via brew/curl for macOS, Linux, and Windows.
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