code-explainer

To trace call paths across a multi-language repository, provide a starting scope like a function or file to map callers, callees, and dependencies. You receive concise summaries, an ASCII diagram, and structured explanations backed by file references.

Locating code entry points and summarizing module behavior involves identifying the starting scope and reading top-level docs to map responsibilities. The process yields evidence-backed explanations with file snippets and uncertainty notes for accurate analysis.

Yes, you can explain how a function works by providing it as the starting scope. The tool traces minimal call paths and dependencies, providing concise summaries, TL;DR, and structured explanations with direct file references as evidence.

To generate an ASCII call graph diagram for your codebase, apply the tool to a specified directory or file. It maps the call paths and dependencies, outputting a visual diagram alongside a structured explanation of the code flow.

Yes, this approach works for analyzing code and tracing dependencies across different programming languages. It is specifically designed to explain code call paths and behavior across multi-language repositories without requiring specific language dependencies.

You should provide a function, file, or directory as the starting scope to get a structured code explanation. The tool then identifies entry points, traces data flow, and outputs evidence-backed explanations with file references and uncertainty notes.