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A new open-source tool converts GitHub repositories into interactive knowledge graphs, allowing users to visualize code structures and query them using a natural language AI agent.
Google has launched CodeWiki, a tool that automatically generates comprehensive documentation, architecture diagrams, and a chatbot for any given code repository.
Google released CodeWiki, an AI tool that transforms GitHub repositories into interactive documentation, architecture diagrams, and chatbots to help developers quickly understand massive codebases.
React Doctor v2 is an open-source CLI tool that analyzes React codebases for performance issues, bad patterns, unnecessary re-renders, and broken architecture. It supports Next.js, Vite, and React Native and can be run instantly via npx.
Octocode transforms code projects into navigable knowledge graphs for AI agents like Claude, Cursor, and Windsurf, using tree-sitter AST parsing and MCP integration to enable semantic search and dependency navigation.
Deepsec is an open-source coding security harness designed to help developers identify and fix security vulnerabilities in their code.
OpenAI explains why Codex Security deliberately avoids starting with SAST reports, instead analyzing repository architecture and validating findings directly. The approach addresses the core challenge that hardest vulnerabilities involve whether security checks actually work across transformation chains, not just data flow tracking.
OpenAI announces Aardvark, an AI-powered agentic security researcher built on GPT-5 that automatically identifies, validates, and patches software vulnerabilities in codebases. The tool integrates with GitHub and development workflows to help security teams discover and fix vulnerabilities at scale.
Code-Graph-RAG is an open-source tool that parses multi-language codebases with Tree-sitter, builds a knowledge graph in Memgraph, and lets you query, edit, and optimize code using plain English. It supports monorepos with mixed languages under a unified graph schema.
Codebase-memory-mcp is an ultra-fast code intelligence engine for AI coding agents that indexes entire repositories in milliseconds and answers structural queries in under 1ms using tree-sitter AST analysis and a persistent knowledge graph, with support for 158 languages and 14 MCP tools.
SciTools’ Understand adds interactive UML, control-flow and call-graph views that let developers navigate code without hunting files.