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Your AI Editor Doesn't Know What You're Doing

The article highlights a structural limitation of AI coding tools: they understand codebase state but not programmer intent. It proposes a dual-model architecture with a local model compressing edit history into embeddings for the remote model, enabling bidirectional communication for investigation tasks.

SourceHacker News AIAuthor: hashino
Your AI Editor Doesn't Know What You're Doing
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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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Key points

  • Current AI tools capture code snapshots but fail to infer programmer intent from edit history.
  • A proposed solution uses a local lightweight model to compress edit sequences into semantic embeddings.
  • The remote model can dispatch investigation tasks to the local model to verify refactoring safety or check for bugs.
  • Embedding space alignment between the two models is a key open challenge.

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