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Reasoning-core: 130M-param guardrail keeping AI agents honest

Reasoning-core is a lightweight (130M parameter) local guardrail that scores AI agent (e.g., Claude) edits for structural regression before they land, boosting task success, saving tokens, and enforcing codebase consistency.

SourceHacker News AIAuthor: mnvibe26x7
Reasoning-core: 130M-param guardrail keeping AI agents honest
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Under the source content permission, this page provides an editorial summary, key points, and a link to the original article.

Key points and analysis

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EngineersIntermediate

Key points

  • 130M parameter model, ~200MB RAM, runs entirely local for privacy.
  • In 8 engineering task evaluations, task pass rate improved from 92% to 100%.
  • Averages 8.2% token savings, with best single-task saving of 29%.
  • Plan quality score increased from 3.62 to 3.94 on a 1-5 scale.

Highlights and analysis are generated automatically and may contain errors. Check the original source.

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