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2 starsPython

Crespo – Tree-sitter AST blueprints instead of raw code for LLMs

by ByteJoseph·Jun 22, 2026·2 points·0 comments

AI Analysis

●●SolidBig Brain

Tree-sitter AST blueprints compress codebase context when JinaAI and Firecrawl already exist.

Strengths
  • Real AST parsing via Tree-sitter beats regex-based code extraction.
  • Structure mode emits imports, classes, functions at fraction of token cost.
  • Direct GitHub repo analysis without manual clone and upload.
Weaknesses
  • Chat-with-codebase category has Cursor, Continue, Sourcegraph Cody.
  • AST-based code summarization isn't novel — similar tools exist.
Target Audience

Developers using LLMs for codebase analysis

Similar To

Cursor · Continue · Sourcegraph Cody

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Noodles – Turn any codebase into a diagram with Claude and Tree-sitter

Tree-sitter + agentic flow ~50x faster than raw LLM calls, but codebase visualization is crowded category.

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