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Merge branch 'main' into add-sourcebook

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James Murdza
2026-05-14 14:06:14 -07:00
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parent ba6e0f1a04 9b334a57c1
commit 7b79e406dd
2 changed files with 168 additions and 15 deletions
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.github/workflows/pr-template-check.yml
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@@ -0,0 +1,106 @@
name: PR Template Check
on:
pull_request_target:
types: [opened, edited]
jobs:
check-pr-template:
runs-on: ubuntu-latest
permissions:
pull-requests: write
steps:
- name: Check PR follows template
uses: actions/github-script@v7
with:
github-token: ${{ secrets.GITHUB_TOKEN }}
script: |
const prBody = context.payload.pull_request.body || '';
const prNumber = context.payload.pull_request.number;
const prAuthor = context.payload.pull_request.user.login;
// Define required sections from the PR template
const requiredSections = [
'## Description',
'## Checklist'
];
// Define required checklist items
const checklistItems = [
'The entry is a tool that uses AI',
'The entry is a developer-focused tool',
'The description is unambiguous and clear',
'The description matches the style of other entries'
];
let issues = [];
// Check for required sections
for (const section of requiredSections) {
if (!prBody.includes(section)) {
issues.push(`Missing required section: \`${section}\``);
}
}
// Check if checklist section exists and has checked items
if (prBody.includes('## Checklist')) {
// Check if at least some checklist items are checked
const checkedPattern = /- \[x\]/gi;
const checkedMatches = prBody.match(checkedPattern) || [];
if (checkedMatches.length === 0) {
issues.push('No checklist items are checked. Please review and check all applicable items.');
}
// Verify all required checklist items are present
for (const item of checklistItems) {
if (!prBody.includes(item)) {
issues.push(`Missing checklist item: \`${item}\``);
}
}
}
// Check if description section has actual content (not just the template comments)
const descriptionMatch = prBody.match(/## Description\s*([\s\S]*?)(?=## Checklist|$)/);
if (descriptionMatch) {
// Remove HTML comments and whitespace
const descriptionContent = descriptionMatch[1]
.replace(/<!--[\s\S]*?-->/g, '')
.trim();
if (descriptionContent.length < 10) {
issues.push('The Description section appears to be empty or too brief. Please describe your changes.');
}
}
if (issues.length > 0) {
// Create a comment explaining the issues
const commentBody = `👋 Hi @${prAuthor},
Thank you for your contribution! However, this PR doesn't follow our PR template requirements.
**Issues found:**
${issues.map(issue => `- ${issue}`).join('\n')}
**What to do:**
1. Please edit your PR description to follow the [PR template](/.github/PULL_REQUEST_TEMPLATE.md)
2. Make sure to fill out the Description section
3. Check all applicable items in the Checklist
This PR will be closed automatically. Once you've updated your PR description, feel free to reopen it or create a new PR.
---
*This is an automated message. If you believe this is an error, please comment below.*`;
// Post the comment
await github.rest.issues.createComment({
owner: context.repo.owner,
repo: context.repo.repo,
issue_number: prNumber,
body: commentBody
});
// Close the PR
await github.rest.pulls.update({
owner: context.repo.owner,
repo: context.repo.repo,
pull_number: prNumber,
state: 'closed'
});
// Add a label to indicate why it was closed
try {
await github.rest.issues.addLabels({
owner: context.repo.owner,
repo: context.repo.repo,
issue_number: prNumber,
labels: ['invalid-template']
});
} catch (labelError) {
// Label might not exist, that's okay
console.log('Could not add label:', labelError.message);
}
core.setFailed('PR does not follow the template and has been closed.');
} else {
console.log('PR follows the template requirements! ✅');
}
README.md
+62 -15
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@@ -77,11 +77,11 @@ Plugins that add AI-powered completion, chat, and refactoring to existing code e
- [Quack AI](https://www.quackai.com/) — VS Code extension for adhering to project coding guidelines.
- [CodeMate](https://www.codemate.ai/) — VS Code extension for debugging and optimizing code.
- [AskCodi](https://www.askcodi.com/) — AI coding assistant with extensions for VS Code, JetBrains and Sublime Text.
- [GoCodeo](https://www.gocodeo.com/) - GoCodeo is an AI agent that lets you build and deploy full-stack apps effortlessly, with one click Vercel deployment and seamless Supabase integration.
- [GoCodeo](https://www.gocodeo.com/) - GoCodeo is an AI agent that lets you build and deploy full-stack apps effortlessly, with one-click Vercel deployment and seamless Supabase integration.
- [Ptah](https://marketplace.visualstudio.com/items?itemName=ptah-extensions.ptah-coding-orchestra) — Multi-provider AI coding orchestra for VS Code that connects to OpenRouter (200+ models), Kimi, GLM, Copilot, Gemini, and Codex from one interface. Features CLI agent orchestration, a built-in MCP server, plugin ecosystem, and workspace intelligence. Open source (FSL-1.1-MIT).
- [aiXcoder](https://www.aixcoder.com/en/) — Local or cloud-based assistant with extensions for IntelliJ IDEA, CLion, GoLand, PyCharm, WebStorm, Visual Studio Code, and Eclipse.
- [Sourcery](https://sourcery.ai/) — AI assistant and linter with a reference of 160 Python best practices and 40+ JS/TS best practices. Extensions for VS Code, PyCharm, vim and Sublime.
- [Swimm](https://swimm.io) — Assistant for contextual code understanding using static analysis and AI generated documentation. VS Code, JetBrains, IntelliJ, WebStorm, Rider, PhpStorm, Android Studio, PyCharm.
- [Sourcery](https://sourcery.ai/) — AI assistant and linter with a reference of 160 Python best practices and 40+ JS/TS best practices. Extensions for VS Code, PyCharm, Vim and Sublime.
- [Swimm](https://swimm.io) — Assistant for contextual code understanding using static analysis and AI-generated documentation. VS Code, JetBrains, IntelliJ, WebStorm, Rider, PhpStorm, Android Studio, PyCharm.
- [Android Studio Bot](https://developer.android.com/studio/preview/studio-bot) — Studio Bot is an AI powered coding assistant that is tightly integrated in Android Studio. Studio Bot can help Android developers generate code, find relevant resources, learn best practices, and save time.
- [IBM watsonx Code Assistant for Z](https://www.ibm.com/products/watsonx-code-assistant-z) — watsonx Code Assistant for Z is an AI-powered mainframe application modernization product with code generation. Features include application discovery and analysis, automated code refactoring and COBOL to Java conversion.
- [EasyCode](https://www.easycode.ai/) — VS Code extension with GPT-4 chat.
@@ -89,9 +89,11 @@ Plugins that add AI-powered completion, chat, and refactoring to existing code e
- [Mysti](https://github.com/DeepMyst/Mysti) — Multi-agent AI coding assistant for VS Code. Supports Claude Code, OpenAI Codex, Gemini, Cline, and GitHub Copilot with brainstorm mode where agents debate, red-team, and collaborate on solutions.
- [FlyonUI MCP](https://flyonui.com/mcp) — Integrate FlyonUI MCP - Tailwind AI Builder directly into your IDE and craft stunning Tailwind CSS Components, Blocks and Pages inspired by FlyonUI.
- [Traycer](https://traycer.ai) - Plan-First Coding Assistant in VS Code.
- [shadcn/studio MCP](https://shadcnstudio.com/mcp) - Integrate shadcn/studio MCP Server directly into your favorite IDE and craft stunning shadcn/ui Components, Blocks and Pages inspired by shadcn/studio.
- [shadcn/studio MCP](https://shadcnstudio.com/mcp) — Integrate shadcn/studio MCP Server directly into your favorite IDE and craft stunning shadcn/ui Components, Blocks and Pages inspired by shadcn/studio.
- [Sweep](https://sweep.dev/) — AI coding plugin for JetBrains IDEs with autocomplete, codebase indexing, and context-aware suggestions. Uses proprietary LLMs with zero data retention.
- [Antigravity Link](https://github.com/cafeTechne/antigravity-link-extension) — VS Code extension that bridges mobile devices to Google's Antigravity IDE. Mirror active AI chat sessions on your phone, send messages, upload files, stop AI generation, and automate workflows via a local HTTP API or 9 MCP tools. Listed in the official MCP Registry.
- [Shadcn Space MCP](https://shadcnspace.com/mcp) — Connect Cursor, Claude Code, Antigravity, VS Code, and other AI tools to the Shadcn Space component registry.
---
@@ -120,23 +122,31 @@ Autonomous CLI agents that generate code, execute shell commands, and manage mul
- [Arctic](https://github.com/arctic-cli/interface) — A terminal-first TUI that unifies multiple AI coding plans and APIs with built-in usage and quota visibility.
- [Mini SWE-Agent](https://mini-swe-agent.com/latest/) — A minimal, hackable software engineering agent built for learning and experimentation. Lightweight implementation demonstrating core SWE-agent concepts with a focus on simplicity and extensibility.
- [Micro Agent](https://www.builder.io/blog/micro-agent) — An AI agent that writes and fixes code for you.
- [cmux](https://github.com/manaflow-ai/cmux) — A Ghostty-based macOS terminal with vertical tabs and notifications for AI coding agents. Features notification rings, in-app browser, SSH support, and Claude Code Teams integration.
- [pi](https://pi.dev/) — Minimal, extensible terminal coding agent. TypeScript extensions, skills, prompt templates, and themes — all shareable as npm packages. Supports multiple LLM providers with a unified API.
### CLI Utilities
Lightweight command-line tools for AI-assisted commits, shell translation, and workflow automation:
- [aloc](https://github.com/modern-tooling/aloc) — A modern, AI-augmented lines of code counter built with Rust and Ratatui. Uses AI effort profiles for accurate project estimation.
- [gptcomet](https://github.com/belingud/gptcomet) — CLI tool to help you generate commit message and review changes. Support mutiple providers and languages.
- [cmd-ai](https://github.com/BrodaNoel/cmd-ai) - Turns natural language into executable shell commands (ei.: `ai Tell me the free space on disk`)
- [gptcomet](https://github.com/belingud/gptcomet) — CLI tool to help you generate commit message and review changes. Supports multiple providers and languages.
- [cmd-ai](https://github.com/BrodaNoel/cmd-ai) - Turns natural language into executable shell commands (e.g., `ai Tell me the free space on disk`)
- [Baz CLI](https://github.com/baz-scm/baz-cli) - CLI for AI assisted code review, with access to the actual code, diff etc.
- [models](https://github.com/arimxyer/models) — A TUI for browsing AI models, benchmarks from Artificial Analysis, and coding agents with GitHub integration. Built with Rust and Ratatui.
- [Jctx](https://github.com/Shashwat-Gupta57/Jctx) — Python-powered CLI that extracts structured, architecture-aware context from Python, Kotlin, and Java codebases for LLMs. Features internal dependency mapping and token estimation. To help you plan and implement features smartly with your LLM.
- [CCG Workflow](https://github.com/fengshao1227/ccg-workflow) — Multi-model collaboration system for Claude Code. Orchestrates Claude + Codex + Gemini with 28 slash commands, smart routing (Gemini for frontend, Codex for backend), Agent Teams for parallel development, and 6 built-in quality gate skills. One-command install via npx.
- [aiignore-cli](https://github.com/yjcho9317/aiignore-cli) — Generates ignore configs for 7 AI coding tools based on per-tool bypass testing. Like `npx gitignore` but for Cursor, Claude Code, Gemini, JetBrains, Windsurf, Aider, and Copilot.
- [Butterfish](https://butterfi.sh) — CLI tool that embeds ChatGPT in your shell for easy access. Includes simple agentic capabilities.
- [TmuxAI](https://tmuxai.dev/) - AI-powered, non-intrusive terminal assistant.
- [intelli-shell](https://github.com/lasantosr/intelli-shell) - Manage command templates/snippets with dynamic completions and AI integration.
- [IWE](https://github.com/iwe-org/iwe) — Markdown knowledge graph with CLI that gives AI agents structured access to your knowledge base — no vector database required.
- [Hermes IDE](https://www.hermes-ide.com) — AI-powered shell wrapper for zsh, bash, and fish that adds ghost-text completions, autonomous task execution, full git management with worktrees, and multi-project sessions. Free and open source.
- [resume-cli](https://github.com/inevolin/resume-cli) — CLI that aggregates recent sessions from Claude Code, Codex, and GitHub Copilot in one place. Pick a session and resume it in any of the three tools.
- [codesight](https://github.com/Houseofmvps/codesight) — CLI token optimizer and AI context generator. Scans codebases to extract routes, schema, components, and dependencies for Claude Code, Cursor, Copilot, Codex, and Windsurf. 9x–13x token reduction, built-in MCP server, zero runtime dependencies. `npx codesight`
- [CLIRank](https://clirank.dev) — API directory scoring 387 APIs on agent-friendliness across 11 signals. Available as an MCP server (`clirank-mcp-server`) and REST API.
- [prpack](https://github.com/Lucas2944/prpack) — Zero-dep CLI that packs a pull request (diff + commits + full post-change file contents) into one markdown file optimized for LLM code review. Drop the file into Claude / Cursor / your model. MIT.
- [Marmot](https://marmot.sh) — Shell-native CLI that gives agents one command shape for AI, web search, scraping, and data enrichment across many providers. Designed for Claude Code, Codex, OpenCode, and similar harnesses; composes via shell pipes.
---
@@ -149,12 +159,14 @@ Platforms that scaffold and deploy full-stack applications from natural language
- [Bolt.new](https://bolt.new) — AI-powered web development agent that allows you to prompt, run, edit, and deploy full-stack applications directly in the browser using WebContainers. Supports npm packages, Node.js servers, and third-party APIs.
- [Bolt.diy](https://github.com/stackblitz-labs/bolt.diy) — Open source version of Bolt.new that supports multiple LLM providers including Groq, Anthropic, Ollama, OpenRouter, Gemini, LMStudio, Mistral, xAI, HuggingFace, DeepSeek.
- [Lovable](https://lovable.dev/) — AI-powered full-stack app development platform that converts natural language descriptions or designs into fully functional applications with built-in deployment and GitHub integration.
- [Backgrounder.dev](https://backgrounder.dev/) — Free interface for AI coding agents (Claude Code, Codex, Gemini, Goose, Pi) running as isolated background processes. Supports switching between agents, branching chats, conflict resolution and scheduled runs.
- [Co.dev](https://www.co.dev/) — AI-powered app development platform that helps build and deploy full-stack applications.
- [Capacity](https://capacity.so) — AI powered full-stack web app development that turns prompts in natural language into fully functional web applications.
- [Capacity](https://capacity.so) — AI-powered full-stack web app development that turns prompts in natural language into fully functional web applications.
- [Leap.new](https://leap.new/) — Builds functional apps with real backend services, APIs, and deploys to your cloud.
- [Pico](https://picoapps.xyz) — End-to-end micro app generator with instant deployment.
- [SoftGen](https://softgen.ai/) — AI-powered software generation platform for building Web Apps.
- [LlamaCoder](https://llamacoder.together.ai/) — Open source code generation model for building applications using open source LLMs.
- [Forge](https://forge-web.rebaselabs.online) — AI-powered full-stack app creator that generates Next.js apps from natural language. BYOK model — use your own Anthropic, OpenAI, or Google AI key with no markup. Multi-stage pipeline with auto-fix and TypeScript strict mode.
- [e2b_Fragments](https://fragments.e2b.dev/) — Platform for building and deploying AI-powered applications with sandboxed environments.
- [Mocha](https://getmocha.com/) — AI-powered no-code application builder for creating web apps without writing code.
- [Pythagora](https://www.pythagora.ai/) — AI development platform with 14 specialized agents that builds React/Node.js apps from natural language. Integrates with VS Code and Cursor with one-click deployment.
@@ -163,6 +175,7 @@ Platforms that scaffold and deploy full-stack applications from natural language
- [Make Real](https://makereal.tldraw.com/) — Online canvas that can be used to generate HTML/JavaScript apps.
- [Glowbom](https://glowbom.com/) — Generate apps with AI and export to multiple platforms.
- [ScrollHub](https://hub.scroll.pub/) — Generate and publish websites using the Scroll programming language.
- [VULK](https://vulk.dev) — AI app builder that generates full-stack React + PostgreSQL apps, Flutter mobile, Three.js games and Shopify themes from natural language. Live preview in Firecracker microVMs, BYOM with 16+ models, EU-hosted with full source code export.
- [Taskade Genesis](https://taskade.com/genesis) — AI-powered platform for building custom AI agents, workflows, and apps using natural language. Multi-model support (GPT-4o, Claude, Gemini), open-source MCP server.
- [Berrry](https://berrry.app) — Twitter app generator that transforms social media posts into functional web applications. Turn tweets and Reddit content into complete apps with unique subdomains.
- [Blank Space](https://www.blankspace.build/) — Open-source AI app builder for creating web applications using natural language. Self-hostable alternative to v0, Lovable, and Bolt.
@@ -178,10 +191,10 @@ Tools that generate components, mockups, and frontend code from text prompts or
- [Tempo](https://www.tempolabs.ai/) — WYSIWYG editor for React interfaces.
- [Google Stitch](https://stitch.withgoogle.com/) — Google's AI-powered design tool for creating UI designs. Formerly Galileo AI.
- [Uizard](https://uizard.io/) — Generate multi-screen mockups from text prompts and edit them with a drag-and-drop editor. Scan screenshots of apps or hand-drawn wireframes and transform them into editable app mockups.
- [Polymet](https://polymet.ai) — Create and iterate product design easily. Polymet helps teams create user interfaces and prototypes without any design experience, provides production-ready front-end code.
- [Polymet](https://polymet.ai) — Create and iterate product design easily. Polymet helps teams create user interfaces and prototypes without any design experience, and provides production-ready front-end code.
- [Kombai](https://kombai.com/) — AI Tool for generating frontend code from Figma.
- [CodeParrot](https://www.codeparrot.ai/) — VS Code plugin to generate Frontend code from Figma. Reuses existing components, libraries and coding standards to generate code which fits perfectly with your existing codebase. All without any prompting.
- [Frontly](https://fronty.com/) — Convert the uploaded image to HTML CSS code.
- [Frontly](https://fronty.com/) — Converts uploaded images to HTML/CSS code.
- [BoringUi](https://www.boringui.xyz/) — Create beautiful UI using your JSON data. The generated UI is in HTML and Tailwind CSS with code which can be copied and UI can be shared with anyone using links.
- [CSS Picker](https://csspicker.dev/) — Copy UI from Existing Design and Iterate with AI, support Copy CSS from website (by [CSS Picker Extension](https://chromewebstore.google.com/detail/csspicker-copy-css-from-w/laooinkgdapbcbjchpmihliljfnakkdh)), image to code and text to UI.
- [Telex](https://telex.automatica.ai/) — AI-powered WordPress block and theme generator. Describe your idea and it builds WordPress blocks for you.
@@ -205,9 +218,11 @@ Tools for understanding, navigating, and getting answers about existing codebase
- [Onboard](https://www.getonboardai.com) — Chat with an AI about public and private codebases.
- [CodeSquire](https://codesquire.ai/) — Chrome extension that adds autocomplete to Google Colab, BigQuery, and JupyterLab.
- [Code to Flow](https://codetoflow.com) — Visualize, analyze, and understand code with interactive flowcharts.
- [Gru.ai](https://www.gru.ai/) — An AI developer can help you solve technical problems and tackle daily coding tasks, such as building algorithms, debug issues, test solutions, answer programming questions, etc.
- [Gru.ai](https://www.gru.ai/) — An AI developer can help you solve technical problems and tackle daily coding tasks, such as building algorithms, debugging issues, testing solutions, answering programming questions, etc.
- [sudocode](https://sudocode.ai/) — Context management system for AI coding agents that creates organizational structures to track context over long-horizon tasks.
- [sourcebook](https://github.com/maroondlabs/sourcebook) — CLI and MCP server that generates AGENTS.md/CLAUDE.md from static analysis of codebase structure, git history, and convention detection. Surfaces hub files, co-change coupling, and blast radius. No LLM required.
- [Grasp](https://github.com/ashfordeOU/grasp) — Code architecture visualiser: paste any GitHub/GitLab URL → interactive dependency graph (9 layouts, 16 colour modes), A–F health score, security scanner (SARIF 2.1 export), blast radius, churn heatmap, ORM query map, and AI chat (15 providers). 116 MCP tools with Kuzu graph DB + SQLite brain. Zero data collection, everything runs locally. `npm install -g grasp-mcp-server`
- [Kasava](https://kasava.dev) - Parses codebases and reads every commit so progress reports cite real changes and feature plans are made with real architecture context.
#### Database & SQL
@@ -227,6 +242,10 @@ Web utilities for quick code generation, language translation, and regex creatio
- [AutoRegex](https://www.autoregex.xyz/) — AutoRegex uses OpenAI's GPT-3 to produce regular expressions from plain English.
- [unpkg.ai](https://unpkg.ai/) — Open source AI-powered ESM module generation service. Generate JavaScript modules via URL for rapid prototyping.
- [EnigmaEasel](https://enigmaeasel.com) — AI-powered engine for generating accessible color palettes and systems, OKLCH gradients, and font pairings with one-click Tailwind CSS and SCSS exports.
- [JSONFix](https://jsonfix-lake.vercel.app/) — AI-powered JSON repair tool that instantly fixes malformed JSON with missing quotes, trailing commas, and syntax errors.
- [CronAI](https://cronai-nu.vercel.app/) — Converts plain English schedule descriptions into correct cron expressions using AI.
- [RegexAI](https://regexai-six.vercel.app/) — Generates working regular expressions from plain English descriptions with explanations. Supports multiple regex flavors.
#### ChatGPT Plugins
@@ -253,6 +272,7 @@ Native desktop apps for AI-powered coding, terminal enhancement, and agent orche
- [Parallel Code](https://github.com/johannesjo/parallel-code) - Desktop app that runs multiple AI coding agents (Claude Code, Codex CLI, Gemini CLI) in parallel with automatic git worktree isolation, a unified GUI, and remote monitoring.
- [PATAPIM](https://patapim.ai) — Terminal IDE for AI coding agents with a 9-terminal grid, AI state detection, built-in Whisper voice dictation, LAN remote access, and embedded MCP browser. Built with Electron.
- [IM.codes](https://github.com/im4codes/imcodes) — Mobile/web control layer for Claude Code, Codex, Gemini CLI, and other terminal-based coding agents, built for away-from-desk continuation with terminal access, file browsing, git views, localhost preview, notifications, and multi-agent workflows.
- [OpenQuack](https://github.com/larryxiao/openquack) - Privacy-first local voice dictation menu bar app for macOS. Pairs with Claude Code, Cursor, Codex, and Aider to dictate long contextual prompts; transcribes via WhisperKit on Apple Silicon, pastes at the cursor, ~8 MB, MIT.
---
@@ -274,7 +294,7 @@ Integrations that automatically review pull requests and suggest code fixes:
- [Qodo PR Agent](https://github.com/qodo-ai/pr-agent) — Open source tool for automated code reviews. Qodo was formerly known as Codium (not to be confused with Codeium with an "E").
- [Greptile](https://greptile.com/code-review-bot) — AI bot that reviews PRs in GitHub/GitLab with full context of the codebase.
- [Macroscope](https://macroscope.com/code-review) - AI-powered code review for GitHub that uses ASTs to build a graph-based representation of your codebase & pulls context from your issue management systems.
- [EntelligenceAI](https://entelligence.ai/pr) — AI powered code reviews for GitHub and GitLab that improves over time based on user comments
- [EntelligenceAI](https://entelligence.ai/pr) — AI powered code reviews for GitHub and GitLab that improves over time based on user comments.
- [Codegen](https://www.codegen.com/) — GPT-4 based PR agent for enterprise codebases.
- [Nova](https://www.trynova.ai/) — CI bot to add actions such as summaries and tests to new PRs.
- [PR Explainer Bot](https://pr-explainer-bot.web.app/) — A GitHub integration that adds explanatory text to newly created PRs.
@@ -282,9 +302,9 @@ Integrations that automatically review pull requests and suggest code fixes:
- [Corgea](https://corgea.com/) — A GitHub integration that finds and fixes vulnerable code.
- [Pixee](https://pixee.ai) — Pixeebot finds security and code quality issues in your code and creates merge-ready pull requests with recommended fixes.
- [CodeAnt AI](https://www.codeant.ai/) — Automatically create PRs to fix code issues.
- [What The Diff](https://whatthediff.ai/) — AI-powered app that reviews the diff of pull requests and writes a descriptive comment about the changes in plain english.
- [What The Diff](https://whatthediff.ai/) — AI-powered app that reviews the diff of pull requests and writes a descriptive comment about the changes in plain English.
- [Trag](https://usetrag.com/) — AI powered code reviews with pre-defined instructions and patterns.
- [CodeReviewBot](https://codereviewbot.ai/) — AI powered code reviews for GitHub
- [CodeReviewBot](https://codereviewbot.ai/) — AI powered code reviews for GitHub.
- [Callstack.ai Code Reviewer](https://callstack.ai/code-reviewer) — AI-powered PR reviewer for GitHub, designed to identify bugs, security issues, and performance bottlenecks.
- [Matter AI](https://matterai.dev) - Open Source AI Code Reviewer to help engineering teams release code with confidence.
- [Gito](https://github.com/Nayjest/Gito) - AI code reviewer that works with any language model, locally or in GitHub Actions.
@@ -293,15 +313,17 @@ Integrations that automatically review pull requests and suggest code fixes:
- [MiniMax Code Review](https://github.com/tarmojussila/minimax-code-review) - AI-powered GitHub Pull Request code review using MiniMax models.
- [claude-pr-reviewer](https://github.com/indoor47/claude-pr-reviewer) - GitHub Action + CLI that uses Claude AI to automatically review pull requests, post inline comments, and report token costs. Supports strictness levels (lenient/balanced/strict). Zero dependencies, Python 3.8+.
- [Revieko](https://synqra.tech/revieko/) — Architecture drift radar for PRs: structural risk scoring and drift hotspots.
- [crit](https://crit.md) - Human-in-the-loop review for AI coding agents. Annotate plans, code, or any file with inline comments in a local browser UI; exports structured JSON your agent reads back. Share reviews via URL.
- [CodeHawk](https://codehawk.crossgen-ai.com) — GitHub App that installs in seconds and reviews pull requests automatically, posting inline comments on bugs, security vulnerabilities, and logic errors.
- [Grit](https://app.grit.io) — GitHub-integrated agent for automating maintenance tasks and other development work.
- [PR Triage](https://pr-triage-web.vercel.app) — Open source PR evaluation tool that scores pull requests on six quality dimensions with diff evidence. BYOK, MIT licensed. [Source](https://github.com/Elifterminal/pr-triage-web)
- [prpack-action](https://github.com/Lucas2944/prpack-action) — GitHub Action that runs prpack on every PR, uploads the packed markdown as an artifact, and posts a summary comment. MIT.
### CI/CD & Testing Automation
Tools that generate unit/e2e tests and integrate AI into CI/CD pipelines:
- [Checksum AI](https://checksum.ai) — End-to-end fully autonomous QA Automation agent that generates CI/CD ready Playwright tests directly to the repository
- [Checksum AI](https://checksum.ai) — End-to-end fully autonomous QA Automation agent that generates CI/CD ready Playwright tests directly to the repository.
- [OctoMind](https://octomind.dev) — Auto-maintenance and generated browser-based end-to-end-tests integrated into GitHub Actions, Azure DevOps and more.
- [Traceloop](https://traceloop.com/) — Uses OpenTelemetry tracing data with generative AI to improve system reliability.
- [Carbonate](https://carbonate.dev/) — End-to-end testing using natural language. Integrates into your existing test suite (currently Jest, PHPUnit and Python's unittest).
@@ -309,7 +331,7 @@ Tools that generate unit/e2e tests and integrate AI into CI/CD pipelines:
- [DiffBlue](https://www.diffblue.com/) — Automatically generated unit tests for Java.
- [Qodo](https://www.qodo.ai/) — Non-trivial test generation with support for major programming languages. Extensions for VS Code and JetBrains. (formerly Codium)
- [DeepUnit](https://www.deepunit.ai/) — Thoughtful test cases and generation of complete unit test files. Available as an interactive VS Code extension, npm package, CLI or CI/CD pipeline.
- [KushoAI](https://kusho.ai/) — AI agent for API testing which transforms your Postman collections, OpenAPI specs, curl commands, etc. into exhaustive test suites that plug into your CI/CD pipeline.
- [KushoAI](https://kusho.ai/role-wise-use-case/software-engineers) — AI agent for API testing which transforms your Postman collections, OpenAPI specs, curl commands, etc. into exhaustive test suites that plug into your CI/CD pipeline.
- [Test Gru](https://gru.ai/home#test-gru) — Provides enterprise-level unit test automation services.
- [TraceRoot AI](https://traceroot.ai/) — AI-native observability tool that uses AI agents to automatically fix production bugs.
- [sniffbench](https://github.com/AnswerLayer/sniffbench) — Benchmark suite for evaluating coding agents. Compare configurations, track metrics, and A/B test with real issues from your repos.
@@ -331,12 +353,16 @@ Platforms for running multiple AI coding agents in parallel with workspace isola
- [Vibe Kanban](https://vibekanban.com/) — AI-powered Kanban platform for orchestrating autonomous coding agents. Manage agent workflows with visual boards for task delegation and progress tracking.
- [OpenASE](https://github.com/pacificstudio/openase) — Open-source ticket-driven platform for orchestrating Claude Code, Codex, and Gemini CLI agents across isolated workspaces and status-based workflows.
- [Trellis](https://github.com/mindfold-ai/Trellis) — All-in-one AI framework & toolkit for Claude Code & Cursor. Manages tasks, specs, and multi-agent pipelines.
- [Upstream Agents](https://upstreamagents.com/) — Run AI coding agents in isolated sandboxes connected to your GitHub repositories. Supports Claude Code, odex and OpenCode.
- [GolemBot](https://github.com/0xranx/golembot) — Unified framework wrapping Claude Code, Cursor, OpenCode, and Codex CLIs behind a single streaming API. Adds IM adapters (Slack, Telegram, Discord, Feishu), Skill system, fleet mode, and HTTP embedding.
- [Stoneforge](https://stoneforge.ai) — Open-source orchestration for AI coding agents. Run multiple agents in parallel with automatic dispatch, merge, and recovery.
- [Shep](https://github.com/shep-ai/cli) — Multi-session SDLC control center that orchestrates AI coding agents (Claude Code, Cursor CLI, Gemini) for autonomous feature development with configurable approval gates and a live web dashboard.
- [Bernstein](https://github.com/chernistry/bernstein) — Deterministic multi-agent orchestrator that spawns parallel coding agents (Claude Code, Codex CLI, Gemini CLI) from a single goal, verifies with tests, and auto-commits. Zero LLM tokens on coordination.
- [Kagan](https://github.com/kagan-sh/kagan) — Open-source AI orchestration board with a VS Code extension for planning, running, and reviewing coding agent tasks.
- [SwarmClaw](https://github.com/swarmclawai/swarmclaw) - Self-hosted AI runtime that orchestrates Claude Code, Codex, Gemini CLI, OpenCode, Copilot CLI, Cursor Agent, Goose, Qwen Code, and Droid with heartbeats, schedules, delegation, runtime skills, and an org chart view. Ships as a desktop app (Electron) and CLI. MIT licensed, TypeScript.
- [CueAPI](https://github.com/cueapi/cueapi-core) — Open-source scheduler and verification gate for AI coding agents. Cues trigger agent runs on a schedule, and each execution must return evidence (external ID, result URL, or artifact) before the cycle closes. Works with Claude Code, Codex, and Gemini CLI via SDK. Self-hosted, Apache-2.0.
- [pi-ralph](https://github.com/samfoy/pi-ralph) — Multi-agent orchestration loops for the pi coding agent. Runs autonomous implementation, review, and debugging cycles with configurable roles and loop chaining.
- [great_cto](https://github.com/avelikiy/great_cto) — Claude Code plugin with 7 specialized agents (tech-lead, senior-dev, qa-engineer, security-officer, devops, l3-support, project-auditor) running a full SDLC pipeline with 12-angle code review, 10 project archetypes, 13 compliance frameworks, and two-gate approval flow (architecture + deploy).
- [AgentsMesh](https://agentsmesh.ai) — Self-hostable AI Agent Workforce Platform. Remote AI workstations (AgentPods) with PTY sandbox + git worktree isolation, multi-agent collaboration via channels and pod bindings, built-in Kanban with ticket-pod binding and MR/PR integration, per-pod MCP server. Supports Claude Code, Codex CLI, Gemini CLI, Aider, OpenCode. Multi-Git (GitHub/GitLab/Gitee), multi-tenant (Org > Team > User), SSO/RBAC/audit, air-gapped, BYOK.
### Sandboxing & Isolation
@@ -346,6 +372,8 @@ Secure isolated environments for running AI coding agents with controlled access
- [brood-box](https://github.com/stacklok/brood-box) — Run coding agents (Claude Code, Codex, OpenCode) inside hardware-isolated microVMs with snapshot isolation and egress control.
- [Open Agent](https://github.com/Th0rgal/openagent) — Self-hosted control plane for Claude Code with isolated container workspaces and real-time mission streaming.
- [FlyDex](https://flydex.net) — Browser-first remote control plane for local Codex sessions with QR pairing, approvals, and machine continuity.
- [mirrord](https://github.com/metalbear-co/mirrord) — Per-agent isolation inside a shared Kubernetes cluster: traffic filters, DB branches, and Kafka queue splits via the mirrord Operator. Six [Claude Code skills](https://github.com/metalbear-co/skills) cover quickstart, config, operator setup, CI, DB branching, and Kafka splitting; install via `/plugin marketplace add metalbear-co/skills`.
- [AgentTier](https://github.com/agenttier/agenttier) — Open-source, Kubernetes-native sandbox runtime for AI coding agents (Claude Code, LangGraph, OpenHands). Each sandbox is a Pod + PVC + default-deny NetworkPolicy with optional gVisor isolation; runs in interactive `mode: code` (browser terminal) or `mode: agent` (REST `/configure` + SSE-streaming `/invoke`). Apache-2.0.
### Configuration & Context Management
@@ -354,7 +382,10 @@ Tools that manage and sync AI agent configurations, rules, and context across ed
- [Context7](https://context7.com/) — Documentation platform that provides up-to-date, version-specific documentation and code examples for any library directly into Cursor, Claude Code, Windsurf, and other AI coding tools.
- [cursor-doctor](https://github.com/nedcodes-ok/cursor-doctor) — Health scanner and diagnostic tool for Cursor AI IDE configuration (.cursor/rules/ files). Scans for broken YAML frontmatter, rule conflicts, redundancies, missing alwaysApply, token budget issues, and stack coverage gaps. Available as CLI (`npx cursor-doctor scan`) and VS Code extension.
- [ctxlint](https://github.com/YawLabs/ctxlint) — Open-source linter for AI context files (CLAUDE.md, .cursorrules, copilot-instructions.md) that catches stale paths, wrong commands, and token waste by validating against the real codebase.
- [Entroly](https://github.com/juyterman1000/entroly) - Open-source context optimization engine that cuts AI token costs by 70-95%. Uses submodular knapsack selection and PRISM reinforcement learning to provide the exact context needed to 65+ supported AI coding agents. Features a built-in MCP server, semantic caching, and SimHash deduplication. Apache-2.0.
- [lean-ctx](https://github.com/yvgude/lean-ctx) — Open-source context runtime for AI coding agents. MCP server (optional shell hook) that compresses file reads, shell output, and codebase search to reduce token usage, often 60–99% on supported workflows. 46 tools, session caching, AST-aware compression for 18 languages, 90+ shell patterns. [Website](https://leanctx.com). Apache-2.0.
- [Caliber](https://github.com/rely-ai-org/caliber) — Open-source CLI that scans your codebase and generates AI agent configs (CLAUDE.md, .cursorrules, skills, MCPs) for Claude Code, Cursor, and Codex. Scores your setup 0-100 and recommends MCP servers.
- [claude-overlay](https://github.com/mzmmoazam/claude-overlay) — CLI for managing Claude Code project configs across custom providers (Databricks, Bedrock, OpenRouter, LiteLLM, Cloudflare). Handles overlay merge/remove, web search MCP setup, and multi-provider switching.
- [vsync](https://github.com/nicepkg/vsync) — CLI tool that syncs Skills, MCP servers, Agents & Commands across Claude Code, Cursor, OpenCode, and Codex with automatic format conversion (JSON <-> TOML <-> JSONC).
- [rule-porter](https://github.com/nedcodes-ok/rule-porter) — Zero-dependency CLI that converts AI IDE rule files between Cursor (.mdc), CLAUDE.md, AGENTS.md, Copilot, and Windsurf. Bidirectional with lossy-conversion warnings.
- [LynxPrompt](https://github.com/GeiserX/LynxPrompt) — Self-hostable platform for managing AI IDE configuration files. Generates, syncs, and shares configs (.cursorrules, CLAUDE.md, copilot-instructions.md, etc.) across 30+ AI coding assistants via web UI, REST API, CLI, and federated blueprint marketplace.
@@ -365,10 +396,18 @@ Tools that manage and sync AI agent configurations, rules, and context across ed
- [ContextMCP](https://contextmcp.ai) — Self-hosted semantic search across documentation from various sources for AI agents.
- [Beacon](https://github.com/sagarmk/beacon-plugin) — Semantic code search plugin for Claude Code that combines embedding-based similarity with BM25 keyword matching. Indexes locally via Ollama and stores everything in SQLite.
- [AgentsKB](https://agentskb.com) — Knowledge base with 39K+ researched technical Q&As accessible via MCP server, REST API, or web search. Integrates with Claude Code, Cursor, and Cline.
- [Not Human Search](https://nothumansearch.ai) — Search engine for the agentic web. Indexes 2,000+ agent-ready sites ranked 0–100 on agentic readiness (llms.txt, OpenAPI, MCP, ai-plugin.json, structured API). Itself an MCP server with 8 tools (search_agents, verify_mcp, list_categories, get_top_sites, etc.). One-line install: `curl -fsSL https://nothumansearch.ai/install | sh`. Free, no auth, open data.
- [rule-gen](https://github.com/nedcodes-ok/rule-gen) — CLI tool that generates AI coding rules from your actual codebase using Google Gemini. Feeds source files into Gemini's 1M token context window to produce project-specific rules for Cursor, Claude Code, Copilot, and Windsurf. Zero dependencies.
- [Zenable](https://zenable.io/) — AI guardrails that learn your team's standards and ensure coding agents follow them, maximizing speed and quality.
- [pi-steering-hooks](https://github.com/samfoy/pi-steering-hooks) — Deterministic before-tool-call guardrails for the pi coding agent. Enforces rules (no force push, conventional commits, etc.) via regex pattern matching on tool inputs — zero tokens, 100% reliable. Custom rules via JSON config with override escape hatch.
- [Gestalt](https://github.com/dwgoldie/gestalt) — Model-agnostic thinking protocol (AGENTS.md) that shapes how AI coding agents reason. Less filler, more substance, honest about limits. Works with Claude Code, Codex, Cursor, Copilot, Gemini CLI.
- [Spartan AI Toolkit](https://github.com/spartan-stratos/spartan-ai-toolkit) — Engineering discipline layer for AI coding agents. 67 slash commands with quality gates enforce TDD, code review, and atomic commits. Configurable rules for any stack. Works with Claude Code, Codex, Cursor, Windsurf, Copilot.
- [Nex](https://github.com/nex-crm/nex-as-a-skill) — Organizational context and memory for AI agents. Connects email, Slack, CRM, and 100+ tools into one knowledge graph with a 60-tool MCP server and persistent memory across agent sessions.
- [Agentify](https://github.com/koriyoshi2041/agentify) — CLI tool that transforms any OpenAPI spec into 9 agent interface formats (MCP server, AGENTS.md, CLAUDE.md, .cursorrules, Skills, llms.txt, GEMINI.md, A2A Card, CLI) with a single command. Tiered generation strategies for small to large APIs.
- [skill-optimizer](https://github.com/fastxyz/skill-optimizer) — CLI that benchmarks SDK, CLI, and MCP guidance docs (SKILL.md) against multiple LLMs and runs an iterative optimizer to rewrite them until every configured model meets a score floor.
- [KubeStellar Console kc-agent](https://github.com/kubestellar/console) — MCP server that bridges AI coding agents (Claude Code, Copilot, Codex) to multi-cluster Kubernetes APIs. Enables natural language queries across clusters, workload placement, policy enforcement, and real-time observability. CNCF Sandbox project.
- [claude-code-pro-pack](https://github.com/sisyphusse1-ops/claude-code-pro-pack) — Drop-in 12-rule `CLAUDE.md` + `AGENTS.md` baseline that closes common agent-orchestration failures (token spirals, silent partial failures, two-pattern pollution). Includes PRD generator prompt, browser-skill-graduation workflow, and 5 example skills. ~700 tokens total, MIT.
- [cc-audit](https://github.com/sisyphusse1-ops/cc-audit) — Single-file Python linter that scores any `CLAUDE.md` / `AGENTS.md` against a 12-rule baseline. Flags leaked secrets (GitHub PATs, AWS keys, PayPal links), the 200-line compliance cliff, and missing project-specifics sections. Zero dependencies, JSON output for CI, MIT.
### Usage Analytics & Cost Tracking
@@ -377,10 +416,16 @@ Tools for monitoring token usage and API costs across AI providers:
- [Tokscale](https://github.com/junhoyeo/tokscale) — CLI tool for tracking token usage from AI coding agents (OpenCode, Claude Code, OpenClaw, Codex, Gemini CLI, Cursor IDE, AmpCode, Factory Droid) with a global leaderboard and 2D/3D contribution graphs.
- [BurnRate](https://getburnrate.io) - Local-first AI coding cost analytics. Tracks Claude Code, Cursor, Codex, Copilot, Windsurf, Cline, and Aider. Cost breakdowns, 23 optimization rules, rate limit monitoring, provider comparison, and PDF reports.
- [Code Insights](https://github.com/melagiri/code-insights) — Local-first CLI and dashboard for analyzing AI coding sessions from Claude Code, Cursor, Codex CLI, Copilot CLI, and VS Code Copilot Chat. SQLite-backed with terminal analytics, browser dashboard, and LLM-powered insights.
- [agenttrace](https://github.com/luoyuctl/agenttrace) — Local-first TUI observability for AI coding agents. Tracks cost, tokens, tool failures, anomalies, health, and CI gates across Claude Code, Codex CLI, Gemini CLI, Aider, and Cursor exports.
- [onWatch](https://github.com/onllm-dev/onwatch) — Open-source Go CLI that tracks AI API quota usage across 7 providers (Anthropic, OpenAI Codex, GitHub Copilot, Synthetic, Z.ai, MiniMax, Antigravity). Background daemon with Material Design 3 web dashboard, ~15MB binary, <50MB RAM, zero telemetry.
- [claude-lens](https://github.com/Astro-Han/claude-lens) — Lightweight Bash + jq statusline for Claude Code with rate limit pace tracking. Compares burn rate to time remaining in 5h/7d windows, showing whether usage is ahead or behind sustainable pace. Single file, zero dependencies beyond jq.
- [cc-tempo](https://github.com/O0000-code/cc-tempo) — Claude Code statusline that parses transcript JSONL for active work time (excludes idle and interactive-tool waits), SubAgent speedup ratio, /clear-resilient PID timer, code-churn sparkline with trend arrow, and multi-instance detection. Bash + TypeScript CLI, MIT.
- [ai-coding-tools-pricing](https://github.com/lunacompsia-oss/ai-coding-tools-pricing) — Open JSON dataset of pricing for 8 AI coding tools (Copilot, Cursor, Claude Code, Windsurf, etc.). 30+ tiers, TypeScript types, JSON Schema. CC-BY-4.0. Updated monthly.
- [CodeCosts](https://codecosts.pages.dev) — Interactive cost calculator and comparison tool for AI coding tools. Uses the ai-coding-tools-pricing dataset to help developers pick the right plan.
- [WhereMyTokens](https://github.com/jeongwookie/WhereMyTokens) — Windows system tray app for monitoring Claude Code token usage in real time. Displays per-session token counts, costs, context window usage, and tool call breakdowns; fetches 5h/1w rate-limit data from the Anthropic API with optional statusLine bridge integration for live data without polling.
- [aicost](https://github.com/dwylq/aicost) — Universal AI coding cost analyzer CLI. Scans Claude Code, Cursor, and GitHub Copilot usage with cache-aware pricing, HTML dashboard, and cost alerting. No API key required.
- [CostGoat](https://costgoat.com) — Privacy-first menubar app for tracking AI agent quotas (Claude Code, Codex, Kimi, Z.ai) and LLM API costs (OpenAI, OpenRouter, Anthropic, ElevenLabs) in real-time. Also covers cloud spend and SaaS subscriptions.
- [TokenWise](https://github.com/CodeShuX/tokenwise) — Measurement-driven model router for Claude Code. Auto-routes subtasks across Haiku/Sonnet/Opus based on task class, logs every routed task with verified $ saved to a local NDJSON, and includes an A/B test subcommand to validate cheaper tiers before trusting routing. MIT, zero telemetry, Anthropic-only.
---
@@ -429,3 +474,5 @@ Curated lists, comparison guides, and configuration templates for AI coding tool
- [Havoptic](https://havoptic.com/) — Free, open-source timeline tracking releases from AI coding tools. Auto-updated daily. [Source](https://github.com/scotthavird/havoptic.com)
- [AI Dev Toolkit](https://github.com/dohko04/awesome-ai-prompts-for-devs) — 198 production-ready AI engineering resources: prompt frameworks, multi-agent configs, MCP setups, RAG pipelines, and automation scripts for Claude Code, Cursor, GPT-5, Copilot, and more. Free samples included.
- [AI Coding Guide (中文)](https://github.com/jnMetaCode/ai-coding-guide) — Chinese best practices for 8 AI coding tools (Claude Code, Cursor, Copilot, Windsurf, Gemini CLI, Kiro, Aider, Trae) with copy-paste config templates and multi-tool collaboration workflows.
- [Claude Code Skills 中文精选集](https://claude-skills.bt199.com/) — Chinese curated directory of Claude Code Skills, agents, plugins, and workflow resources for developers using Claude Code.
- [Awesome AI Startups — Coding & Developer Tools](https://github.com/nowork-studio/awesome-ai-startups#-coding--developer-tools) — 100+ indie-built AI coding assistants, dev tools, and code-generation products from bootstrapped, pre-seed, and angel-funded startups.