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A reliability layer for AI-built systems: detect failures (tests or runtime drift), reproduce, repair one ticket at a time behind an approval gate, and prove the fix. The safety boundaries most AI agents skip.

3 starsPython

AutoMaxFix – controlled AI repair loop that won't eat your migrations

by Noumenon_AI·May 25, 2026·1 point·0 comments

AI Analysis

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Bans rm -rf and sudo at the infra level before the agent ever sees the command.

Strengths
  • Infrastructure-level safety floor blocks dangerous commands before the LLM prompt runs.
  • Bundles reproduction tests directly into the patch to prevent regression during repair.
  • Supports watch mode for local failure loops with optional approval gating.
Weaknesses
  • Relies entirely on external agents like Codex CLI; no built-in model inference.
  • Narrow utility focused only on test-failure repair loops, not general refactoring.
Target Audience

Engineering teams using AI code generators who need safety guardrails

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