Code2Doc

Code2Doc is a state-of-the-art documentation engine that leverages Large Language Models (LLMs) and Abstract Syntax Tree (AST) parsing to generate comprehensive, context-aware technical documentation. Unlike traditional tools like Doxygen or Sphinx, Code2Doc does not merely extract comments; it analyzes logic flows, function dependencies, and architectural patterns to write human-readable explanations. By 2026, the tool has matured into a multi-modal system capable of generating Mermaid.js diagrams, API reference schemas, and internal developer portals (IDPs) automatically within CI/CD pipelines. Its architecture uses a 'Context-Window Optimization' strategy, ensuring that even large-scale monorepos are processed efficiently by chunking code based on module dependency rather than file size. The 2026 market position of Code2Doc is defined by its ability to bridge the gap between legacy code and modern architectural standards, providing a 'living' documentation layer that updates in real-time with every pull request, significantly reducing developer cognitive load during onboarding and refactoring phases.