[ACL 2026] Open-source framework for holistic, structured repository-level documentation across multilingual codebases
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Updated
May 27, 2026 - Python
[ACL 2026] Open-source framework for holistic, structured repository-level documentation across multilingual codebases
A discovery and compression tool for your Python codebase. Creates a knowledge graph for a LLM context window, efficiently outlining your project | Code structure visualization | LLM Context Window Efficiency | Static analysis for AI | Large Language Model tooling #LLM #AI #Python #CodeAnalysis #ContextWindow #DeveloperTools
A lightweight tool to optimize your Javascript / Typescript project for LLM context windows by using a knowledge graph | AI code understanding | LLM context enhancement | Code structure visualization | Static analysis for AI | Large Language Model tooling #LLM #AI #JavaScript #TypeScript #CodeAnalysis #ContextWindow #DeveloperTools
repo-map generates LLM-enhanced summaries and analysis of software repositories, providing developers with valuable insights into project structures, file purposes, and potential considerations across various programming languages.
A lightweight tool to optimize your C# project for LLM context windows by using a knowledge graph | Code structure visualization | Static analysis for AI | Large Language Model tooling | .NET ecosystem support #LLM #AI #CSharp #DotNet #CodeAnalysis #ContextWindow #DeveloperTools
A discovery and compression tool for your Java codebase. Creates a knowledge graph for a LLM context window, efficiently outlining your project #LLM #AI #Java #CodeAnalysis #ContextWindow #DeveloperTools #StaticAnalysis #CodeVisualization
🔍 CodeMetrix: A sophisticated code analysis and cost estimation tool that provides advanced metrics, quality assessment, and intelligent reporting for software projects. Features COCOMO II modeling, AST-based analysis, and multi-language support.
Convert your repositories into PDFs and structured JSON outputs, giving LLMs full context of your codebase
AI documentation generator for Claude Code, Cursor, Copilot, Gemini CLI, Codex, Windsurf, and Cline. Scans your codebase and generates platform-native context files
A lightweight, AI‑enhanced generator that creates a polished README.md and a ready‑to‑use LICENSE file for any public GitHub repository. It combines GitHub repo analysis, OpenRouter/OpenAI summarization, and customizable licensing templates into a simple Gradio web UI.
Merkle-enhanced codebase mapping for AI agents. O(1) change detection, zero-token staleness prevention.
A CLI tool to transform a codebase into a single, LLM-optimized markdown file. Intelligently samples content, removes duplicates, and controls token budgets to create perfect context for AI assistants
AI Agent Skill — Auto-generate business context layer (BCL) for large backend codebases. Supports Java, Python, Go, Kotlin, TypeScript. Turn 500K lines into navigable knowledge maps.code2wiki ( code to wiki) 是一项专为复杂项目构建面向业务的“业务语义层”的技能。通过 code2wiki,开发者可以将既有代码库高效地转化为系统化的项目上下文与 Wiki 文档,从而显著提升 LLM 对复杂业务系统的理解深度,赋能代码总结、领域 Skill 构建及自动化文档生成。
Build and maintain codebase docs with an AI agent that maps module links, updates knowledge, and supports search and chat
Automated GitHub repository documentation generator with architecture extraction and AI-assisted technical summaries.
Lightweight YAML documentation standard for AI-assisted development. .ctx companion files capture what source code can't say: tensions, workflows, conceptual tests.
Syntactic Extraction and Rendering of Python’s End-to-end Node Trees
An AI tool for automatic documentation generation of Jupyter Notebooks. It extracts and processes code cells to generate detailed documentation, reducing the manual effort needed for writing code descriptions. It helps improve workflow efficiency for data scientists and developers by automating the documentation process.
🌱💧A Django-based application to manage hydroponic systems with full CRUD capabilities, sensor data management, and user authentication.
AI agent that reads a codebase file by file, builds a living Markdown reference doc, and maps how everything connects — using a wire model to track and resolve dependencies incrementally.
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