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Dev.to
Dev.to
7/23/2026
The original title is "How I reduced AI coding context by 95%"

The original title is "How I reduced AI coding context by 95%"

Original: How I reduced AI coding context by 95%

Short summary

The author built SymbolPeek, an MCP server that gives AI coding agents symbol-level access to codebases instead of loading entire files. By leveraging the TypeScript Compiler API and Tree-sitter for other languages, it provides semantic navigation—references, call hierarchies, type inspection—through MCP. Real-world usage showed 95.7% average context reduction, saving ~1.61M tokens across 162 requests. The tool supports TypeScript, JavaScript, Rust, Python, Java, Go, JSON, and Markdown.

  • SymbolPeek exposes compiler-level semantic knowledge to AI coding agents via MCP, avoiding full-file reads
  • Real-world usage shows 95.7% context reduction and ~1.61M tokens saved across 162 requests
  • Supports TypeScript/JS via compiler API and Rust/Python/Java/Go via Tree-sitter for cross-language repositories

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