#python #ai #ast #claude_code #code_analysis #code_understanding #codebase_search #developer_tools #graph_database #knowledge_graph #llm #mcp #mcp_server #memgraph #monorepo #multi_language #python #rag #retrieval_augmented_generation #semantic_search #tree_sitter

Code-Graph-RAG is an open-source tool that reads a codebase, builds a graph of functions, classes, modules, and links, and lets you ask questions, find code, edit safely, and improve code in plain English. It supports many languages and can run as an MCP server for direct use with AI tools. Benefit: you can understand and change large mixed-language projects faster, with less manual searching and fewer mistakes.

https://github.com/vitali87/code-graph-rag

#javascript #agent_skills #ai_agents #claude #claude_code #claude_code_plugin #cursor_rules #developer_tools #llm #prompt_engineering #yagni

Ponytail is a tool for AI coding agents that tells them to use the simplest safe solution, like native features, shared code, or one-line fixes, instead of extra code. It can cut code, cost, and time while keeping safety checks, validation, and accessibility. For you, this means cleaner code, faster results, and less wasted work.

https://github.com/DietrichGebert/ponytail

#html #agent_skills #architecture_as_code #architecture_diagram #claude_skill #code_visualization #codex #coding_agents #data_flow_diagram #deepseek_harness #developer_tools #diagram_as_code #diagrams #diagrams_as_code #dsh_plugin #mermaid_alternative #opencode #sequence_diagram #software_architecture #system_design #text_to_diagram

Archify turns a codebase or system description into an interactive system map you can use in chat. It helps you see architecture, compare changes, trace paths, and export shareable files like HTML and images, so you can understand systems faster, review them more safely, and share clear technical diagrams.

https://github.com/tt-a1i/archify

#go #ai_agents #coding_agent #developer_tools #go #golang #guidelines

This project helps coding agents write modern Go by using newer Go features and stdlib tools instead of old patterns, based on the Go version in `go.mod`. It supports Go 1.25+ and works with Junie, Claude Code, Codex, Cursor, and other agents. The benefit to you is cleaner, newer Go code with less manual fixing later.

https://github.com/JetBrains/go-modern-guidelines

#rust #agents #claude_code #codex #developer_tools #git #worktrees

Worktrunk is a simple command-line tool for managing git worktrees, made for running many AI agents at the same time. It makes creating, switching, listing, merging, and cleaning up worktrees fast, and it can automate setup with hooks, commit messages, and shared build caches. The benefit to you is less manual git work, fewer conflicts, and an easier way to handle many parallel tasks.

https://github.com/max-sixty/worktrunk