WhatA standalone library that uses language-specific ASTs (via tree-sitter) to intelligently scope what code context gets fed to any LLM coding agent, replacing naive grep/file-read approaches.
SignalMultiple commenters expressed surprise and interest that AST-based context scoping works so well, noting that previous attempts with LSPs were underwhelming due to mid-edit noise and caching issues, while tree-sitter based approaches avoid those problems entirely.
Why NowTree-sitter WASM bindings are now mature and fast enough to run incrementally in real-time, and context window costs remain the dominant expense in AI coding — making intelligent context pruning directly tied to cost savings.
MarketEvery AI coding tool maker (Cursor, Windsurf, Cline, OpenCode, etc.) and enterprise teams building internal coding agents; potential to be the 'PostHog of code context' — open core with paid enterprise features. TAM $1-3B as a middleware layer.
MoatLanguage-specific query definitions and symbol databases become a proprietary asset that improves with community contributions; switching costs rise as teams build workflows around the context engine.
Show HN: OSS Agent I built topped the TerminalBench on Gemini-3-flash-previewView discussion ↗ · Article ↗ · 354 pts · April 27, 2026
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