GitHub Trends
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#typescript #agents #code_review #doctor #react #skill

React Doctor is a free tool that scans your React codebase with one command (`npx react-doctor@latest .`), giving a 0-100 health score and fixing issues in state, effects, performance, security, accessibility, and dead code. It works with Next.js, Vite, React Native, GitHub Actions, and AI agents like Claude. Customize via config, ignore rules, or use as ESLint/oxlint plugin. This saves you time debugging bad code from agents or teams, boosts app quality, and prevents costly errors. Try the demo at react.doctor.

https://github.com/millionco/react-doctor
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#typescript #agents #ai #code_editor #linux #macos #reactjs #rust #tauri #terminal #windows #xterm_js

Terax is a tiny, open-source developer workspace that combines a terminal, code editor, file explorer, source control, web preview, and an AI side-panel in one ~7 MB app. It runs fast on macOS, Linux, and Windows with no account, no telemetry, and supports both cloud AI (with your own keys) and offline local models. You get a smoother, faster dev experience without heavy IDEs, while keeping full control over your code and AI choices.

https://github.com/crynta/terax-ai
#python #ai_coding #claude #claude_code #code_review #graphrag #incremental #knowledge_graph #llm #mcp #python #static_analysis #tree_sitter

code-review-graph is a free, local-first tool that builds a structural map of your code to stop AI assistants from re-reading your entire codebase, saving you significant money and time. By using Tree-sitter to parse your code into a graph and tracking changes incrementally, it identifies the exact "blast radius" of a change so your AI only reads the few files that actually matter. This reduces token usage by an average of 82x (up to 528x in best cases), cutting costs and making AI reviews feasible for massive projects like monorepos.

https://github.com/tirth8205/code-review-graph
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#go #agent #agent_skills #code_review #code_review_assistant #harness #repository_level_context

OpenCodeReview is a free AI code review tool that checks your code changes, finds bugs and security issues, and gives clear line-by-line comments. It works with Git diffs, full files, and branches, and you can connect it to your own AI model or use it in CI/CD tools. This helps you review code faster, catch more real problems, and spend less time on false alarms.

https://github.com/alibaba/open-code-review
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#rust #ai_tools #code_review #rust #tui

This is tuicr, a terminal code review tool with vim keybindings that lets you read diffs, add comments, and send reviews to GitHub, GitLab, clipboard, or stdout. It works with git, jj, and Mercurial, so you can review changes in one place and save time when checking code or sharing feedback.

https://github.com/agavra/tuicr
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#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
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#java #code_quality #command_line_tool #hacktoberfest #java #static_analysis #static_code_analysis

Checkstyle is a Java tool that finds code style and best-practice problems, so you can catch mistakes early and keep code clean. It is easy to add to your build, has docs and examples, and helps you spot issues like a switch-case fall-through before they cause bugs, making your code safer and easier to maintain.

https://github.com/checkstyle/checkstyle
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