tldr

# TLDR Code Analysis Token-efficient codebase analysis using llm-tldr v1.5+. **95% fewer tokens than reading raw files.** Language is auto-detected (17 supported). No need to specify `--lang` unless overriding. ## Quick Reference | Task | Command | |------|---------| | "How does X work?" | `semantic` → `context` | | "Who calls X?" | `impact` | | "What would break?" | `impact` + `change_impact` | | "Why is X null here?" | `slice` (backward) | | "What does X affect?" | `slice` (forward) | | "Project structure?" | `arch` + `structure` | | "Find auth code" | `semantic "authentication"` | | "Data flow in function" | `dfg` | | "Control flow" | `cfg` | | "Find dead code" | `dead` | | "Type errors?" | `diagnostics` | | "File tree" | `tree` | | "Regex search" | `search` | ## Commands ### Semantic Search (Natural Language) Find code by meaning, not exact text. Uses 5-layer embeddings (AST + call graph + CFG + DFG + PDG): ``` mcp__tldr__semantic { "project": ".", "query": "user authentication flow" } mcp__tldr__semantic { "project": ".", "query": "error handling" } ``` ### Function Context (95% Token Savings) Get LLM-ready summary instead of reading entire file: ``` mcp__tldr__context { "project": ".", "entry": "handleLogin", "depth": 2 } ``` ### Impact Analysis (Before Refactoring) Find all callers - critical before changing any function: ``` mcp__tldr__impact { "project": ".", "function": "useAuth" } ``` ### Architecture Overview Understand project layers and dependencies: ``...