Codocly: Orchestrating Context-Aware Technical Documentation via Multi-Model Large Language Model Pipelines

Codocly is an AI-powered documentation generation system that automatically analyzes source code repositories and produces structured, context-aware technical documentation. Developers often spend significant time manually writing and maintaining documentation, which leads to inconsistencies and outdated content. Codocly addresses this challenge by leveraging Large Language Models (LLMs) combined with static code analysis. The system parses repositories, extracts structural and semantic information, and generates multiple types of documentation including API references, README files, and usage guides. Key features include:- Multi-language code support- Context-aware documentation generation- Template-based output customization- Automated endpoint and parameter extraction Experimental results demonstrate significant improvements in documentation completeness and generation speed compared to manual approaches. Codocly aims to enhance developer productivity and streamline software documentation workflows.