N3MO – Deterministic code intelligence via AST parsing, no embeddings
Deterministic AST parsing beats embeddings for code graph accuracy.

Tree-sitter parsing maps transitive callers better than standard grep.
Staff engineers and code reviewers managing large monoliths
CodeRabbit · Sourcegraph · Semgrep
Deterministic AST parsing beats embeddings for code graph accuracy.
Tree-sitter call graphs beat text search, but Sourcegraph Cody does this already.
Tree-sitter AST compression cuts LLM context tokens 50-70% while preserving API structure.
Tree-sitter AST parsing beats regex for architecture drift detection.
Tree-sitter + agentic flow ~50x faster than raw LLM calls, but codebase visualization is crowded category.
Forces LLMs to debug with AST evidence instead of pattern-matching symptoms.