docs: add research domains and resource registry

- add local external resources registry - add research domain contract and per-repository research domains - add raw fact snapshot governance and validation scripts Validation: - make test - git diff --check HEAD~1..HEAD Note: - welcome workflow failed because its action input names are stale; core content CI passed.
2026-08-21 14:58:05 +00:00 · 2026-07-03 08:20:22 +08:00
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+# filipecalegario/awesome-vibe-coding 研究域 Agent 指南
+
+本目录维护 `filipecalegario/awesome-vibe-coding` 的独立研究域。
+
+## 目录职责
+
+```text
+filipecalegario-awesome-vibe-coding/
+├── README.md  # 研究域入口和判断层
+├── AGENTS.md  # 本目录维护规则
+├── domain.yml # 事实摘要层：仓库元数据、研究角色、来源证据
+├── analysis.md # L1 结构化研究结论、可借鉴点、风险和下一轮任务
+├── deep-dive.md # L2 源码/结构深度研究、关键机制和可迁移模式
+└── raw/       # 原始事实层：拉取到本地的一手材料快照
+```
+
+## 维护规则
+
+- 本目录只研究 `filipecalegario/awesome-vibe-coding`，不要混入其他仓库的横向比较正文。
+- 动态事实必须写入 `domain.yml.github_observed`，并更新 `observed_at`。
+- `raw/` 保存原始事实层，必须通过 `python3 scripts/fetch-research-raw.py` 刷新。
+- 不手工改写 `raw/*.raw.*` 文件；稳定事实摘要再同步到 `domain.yml`。
+- README 只写判断、定位、使用方式和后续观察点，不堆外部 README 全文。
+- `analysis.md` 写 L1 结构化理解；`deep-dive.md` 写 L2 源码证据、关键机制和可迁移模式。
+- 如果需要横向比较，在 `docs/research/README.md` 或新的对比文档中处理，不把本目录重新变成聚合域。
+- 修改后运行 `make sync-doc-toc` 和 `make test`。
@@ -0,0 +1,58 @@
+# filipecalegario/awesome-vibe-coding 研究域
+
+## 字多不看
+
+- 本目录研究 `filipecalegario/awesome-vibe-coding` 这个外部仓库。
+- 当前优先级：P2；研究角色：国际 Vibe Coding 索引。
+- GitHub 动态事实放在 `domain.yml`，观测日期为 2026-07-03。
+
+## 快速导航
+
+| 文档 | 定位 |
+|:---|:---|
+| [domain.yml](domain.yml) | 仓库事实快照、研究方向、优先级和来源证据。 |
+| [analysis.md](analysis.md) | 本研究域的结构化研究结果、可借鉴点、风险和下一轮任务。 |
+| [deep-dive.md](deep-dive.md) | L2 源码/结构深度研究、关键机制和可迁移模式。 |
+| [AGENTS.md](AGENTS.md) | 本研究域维护规则。 |
+
+<details>
+<summary><strong>完整细粒度目录（点击展开/收起）</strong></summary>
+
+### 细粒度目录
+
+- [domain.yml](domain.yml) - 仓库事实快照、研究方向、优先级和来源证据。
+- [analysis.md](analysis.md) - 本研究域的结构化研究结果、可借鉴点、风险和下一轮任务。
+- [deep-dive.md](deep-dive.md) - L2 源码/结构深度研究、关键机制和可迁移模式。
+- [AGENTS.md](AGENTS.md) - 本研究域维护规则。
+
+</details>
+
+## 使用方式
+
+- 先读本 README 的判断，再读 `analysis.md` 和 `deep-dive.md` 的研究结论，最后读 `domain.yml`。
+- 需要引用 stars、forks、release、归档状态时，先重新核验 GitHub。
+- 如果形成稳定方法论，再迁入 concepts、references、workflow 或 skills。
+
+## 正文
+
+### 研究定位
+
+`filipecalegario/awesome-vibe-coding` 的当前研究定位是：国际 Vibe Coding 索引。
+
+### 当前判断
+
+适合追踪概念、工具和资料生态，不适合作为单一学习主线。
+
+### 观察字段
+
+- GitHub URL：https://github.com/filipecalegario/awesome-vibe-coding
+- 当前研究方向：`ecosystem-index`
+- 当前优先级：P2
+- 当前归档状态：`false`
+- 主要语言：`None`
+
+### 后续观察
+
+- 是否有稳定文档结构、命令入口和可复用工作流。
+- 是否能反哺本仓库的 concepts、references、workflow 或 skills。
+- 是否存在许可证、归档状态、维护活跃度或生态迁移风险。
@@ -0,0 +1,44 @@
+# filipecalegario/awesome-vibe-coding 研究分析
+
+## 本轮结论
+
+- 这是国际语境下较完整的 Vibe Coding awesome list，价值在概念、工具和资料生态的横向扫描。
+- 多语言 README 和分类覆盖 browser tools、IDEs、mobile apps、plugins、local apps、CLI、task management 等。
+- 本仓应把它作为国际资源雷达，而不是直接复制成中文推荐。
+
+## 本地证据
+
+- 研究对象：`filipecalegario/awesome-vibe-coding`
+- 当前研究角色：国际 Vibe Coding 索引
+- 本轮成熟度：L1 初步理解
+- 原始仓库：`raw/repository/`
+- 原始来源清单：`raw/sources.yml`
+- 事实摘要：`domain.yml`
+
+## 结构观察
+
+- 根目录包含 `README.md`、`README-CN.md`、`README-JP.md`、`README-KR.md`、`README-PT.md`、`contributing.md`、`code-of-conduct.md`。
+- README 先定义 concept，再按工具类型组织。
+- 它有贡献和行为规范，但没有明显自动化数据管线。
+
+## 可借鉴点
+
+- 可借鉴国际 Vibe Coding 语境下的工具族分类。
+- 多语言 README 适合观察术语翻译和跨语境表达。
+- 可作为本仓外部资源表的候选来源。
+
+## 风险和边界
+
+- awesome list 缺少采用深度和风险评级。
+- 国际语境工具未必适合中文用户网络、支付和学习环境。
+- 条目更新频率和质量需要持续核验。
+
+## 下一轮研究任务
+
+- 抽取工具分类和术语，更新关键词系统候选。
+- 筛选与 coding agent 强相关的条目进入 P1/P2 研究候选。
+
+## 沉淀判断
+
+- 本轮只完成 L1 理解，不直接迁入 concepts、references、workflow 或 skills。
+- 只有经过 L2 源码阅读、实验验证或交叉对照后的结论，才进入稳定层。
@@ -0,0 +1,81 @@
+# filipecalegario/awesome-vibe-coding 深度研究
+
+## 研究级别
+
+- 当前级别：L2 源码/结构深度研究。
+- 研究对象：`filipecalegario/awesome-vibe-coding`。
+- 证据来源：本目录 `raw/` 下的 GitHub 元数据、README 快照和本地仓库工作树。
+- 观察日期：2026-07-03。
+
+## L2 结论
+
+`filipecalegario/awesome-vibe-coding` 是国际 Vibe Coding 生态雷达。它的价值不在深度评测，
+而在给出工具、平台、社区、任务管理和 AI coding 文档的横向分类视图。
+
+对本仓最有价值的是分类体系和候选研究对象发现；它不应被当作推荐结论本身，因为 awesome list
+缺少采用标准、风险等级、最后验证时间和本地事实层。
+
+## 源码证据
+
+- `raw/repository/README.md`：英文主清单，包含概念、工具、社区和文档分类。
+- `raw/repository/README-CN.md`：中文入口。
+- `raw/repository/README-JP.md`：日文入口。
+- `raw/repository/README-KR.md`：韩文入口。
+- `raw/repository/README-PT.md`：葡萄牙文入口。
+- `raw/repository/contributing.md`：贡献规则。
+- `raw/repository/code-of-conduct.md`：社区行为准则。
+- README 分类包含 Browser-based Tools、IDEs and Code Editors、Mobile Apps、Plugins and Extensions、
+  Local Apps、Command Line Tools、Task Management for AI Coding、Documentation for AI Coding、
+  Communities & Job Boards、News and Social Media。
+
+## 关键机制
+
+### 分类是主要价值
+
+awesome list 的第一价值是让读者知道生态里有哪些类型，而不是判断哪个最好。它适合作为资源雷达，
+不适合作为采购或采用决策。
+
+### 多语言 README 承担传播
+
+多语言 README 说明 Vibe Coding 已经不是单一英文社区话题。它可以帮助本仓观察术语翻译、
+跨语境表达和中文语境下哪些词需要本地化。
+
+### AI coding 文档成为独立分类
+
+清单中单独列出 Documentation for AI Coding，说明 `AGENTS.md`、`llms.txt`、rules、prompt
+template、design docs 等已经从辅助材料变成生态基础设施。
+
+### 任务管理进入 Agent 生态
+
+Task Management for AI Coding 分类说明，当 agent 能写代码后，下一层需求会变成任务拆分、
+并行执行、进度可视化、工作树隔离和验收管理。
+
+## 可迁移模式
+
+- 本仓外部资源表应吸收其工具族分类，但必须补足状态、来源、最后检查和风险字段。
+- `docs/research/` 可以用该清单发现新的 P1/P2 候选研究对象。
+- 关键词系统应吸收 browser tools、AI IDE、CLI agents、task management、AI coding docs 等分类。
+- 对国际资源不直接翻译推荐，先做本地可用性、网络、支付、中文支持和维护状态验证。
+
+## 对本仓的影响
+
+本仓应把它定位为“资源发现层”，而不是“权威推荐层”：
+
+- 发现新对象：进入 `assets/external-resources/` 或 `docs/research/`。
+- 验证对象：拉 raw，建研究域，写 analysis/deep-dive。
+- 稳定对象：下沉到 concepts、references、workflow 或 skills。
+
+这个三段流比直接复制 awesome list 更适合长期维护。
+
+## 风险和待验证项
+
+- 清单缺少结构化元数据，无法直接判断活跃度、许可证、风险和适配中文用户的程度。
+- 部分工具可能已经更名、停更或商业策略变化，需要重新核验。
+- 本轮没有逐条验证清单链接和工具可用性。
+
+## 下一步 L3 验证任务
+
+- 从清单中抽取 coding agent、task management、AI coding docs 三类候选资源。
+- 将候选资源进入 `assets/external-resources/`，补齐状态和检查时间。
+- 对高价值工具建立单独研究域，而不是继续堆在资源清单。
+- 将国际术语映射到本仓关键词系统。
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+version: 1
+repo:
+  name: filipecalegario/awesome-vibe-coding
+  source_name: filipecalegario/awesome-vibe-coding
+  url: https://github.com/filipecalegario/awesome-vibe-coding
+research:
+  domain_id: filipecalegario-awesome-vibe-coding
+  domain_name: filipecalegario/awesome-vibe-coding 研究域
+  primary_direction: ecosystem-index
+  role: 国际 Vibe Coding 索引
+  priority: 2
+  why_study: 适合追踪概念、工具和资料生态，不适合作为单一学习主线。
+github_observed:
+  observed_at: '2026-07-03'
+  source: gh repo view
+  stars: 4848
+  forks: 580
+  archived: false
+  language: null
+  license: cc0-1.0
+  default_branch: main
+  pushed_at: '2026-04-16T01:34:11Z'
+  updated_at: '2026-07-02T16:17:40Z'
+  latest_release: null
+  homepage: ''
+  topics:
+  - ai-agent
+  - ai-agents
+  - ai-coding-assistant
+  - ai-coding-tools
+  - cursor
+  - lovable
+  - vibe-coding
+  - awesome
+  - awesome-list
+source_evidence:
+  file: ChatGPT-中文Vibe Coding仓库 (2).md
+  line: 49
+maintenance:
+  fact_policy: GitHub 动态字段只代表 observed_at 当日快照，更新结论前必须重新核验。
+  split_policy: 本目录已经是一等研究域；更深分析放入本目录新增文档。
@@ -0,0 +1,12 @@
+# raw/ Agent 指南
+
+本目录是 `filipecalegario/awesome-vibe-coding` 的原始事实层。
+
+## 维护规则
+
+- 只保存从研究对象拉取的一手材料，不写分析判断。
+- `repository/` 是本地 Git 工作树，刷新时由脚本 clone 或 fast-forward pull。
+- 不手工改写 `*.raw.*` 文件内容；需要刷新时运行 `python3 scripts/fetch-research-raw.py`。
+- `sources.yml` 必须记录拉取时间、来源命令和每个文件的状态。
+- 外部 README 原文必须保存为 `.txt`，避免本仓库 Markdown 链接检查误判。
+- 分析、判断、采用建议和沉淀路径写回上一级 `README.md`、`analysis.md` 或 `decisions.md`。
@@ -0,0 +1,16 @@
+# raw 事实层
+
+本目录保存 `filipecalegario/awesome-vibe-coding` 的本地原始材料快照。
+
+这里不写分析结论，只保存可复查的一手资料：
+
+- `sources.yml`：来源清单、拉取时间、命令和文件状态。
+- `repository/`：Git 仓库工作树；本目录由 `.gitignore` 忽略，只作为本地研究材料。
+- `github-repo.raw.json`：GitHub 仓库元数据。
+- `github-readme.raw.md.txt`：GitHub README 原文快照。
+- `github-license.raw.txt`：GitHub license 原文快照；仓库无 license 时可能不存在。
+- `github-root-contents.raw.json`：默认分支根目录内容快照。
+- `github-languages.raw.json`：GitHub language 统计快照。
+- `github-latest-release.raw.json`：最新 release 快照；无 release 时可能不存在。
+
+`repository/` 是外部源码快照，不参与本仓库 Markdown、链接、README/AGENTS 覆盖检查。原始 README 使用 `.txt` 后缀保存，避免其中的外部相对链接被本仓库 Markdown 链接检查误判。
@@ -0,0 +1 @@
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@@ -0,0 +1,113 @@
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@@ -0,0 +1,191 @@
+# Awesome Vibe Coding [![Awesome](https://awesome.re/badge.svg)](https://awesome.re) <!-- omit in toc -->
+
+> A curated list of vibe coding references, collaborating with AI to write code.
+
+English | [Português](./README-PT.md) | [한국어](./README-KR.md) | [中文](./README-CN.md) | [日本語](./README-JP.md)
+
+## Contents <!-- omit in toc -->
+
+- [About the concept](#about-the-concept)
+- [Browser-based Tools](#browser-based-tools)
+- [IDEs and Code Editors](#ides-and-code-editors)
+- [Mobile Apps](#mobile-apps)
+- [Plugins and Extensions](#plugins-and-extensions)
+- [Local Apps](#local-apps)
+- [Command Line Tools](#command-line-tools)
+- [Task Management for AI Coding](#task-management-for-ai-coding)
+- [Documentation for AI Coding](#documentation-for-ai-coding)
+- [Communities \& Job Boards](#communities--job-boards)
+- [News and Social Media](#news-and-social-media)
+- [Contribute](#contribute)
+
+## About the concept
+
+- [Andrej Karpathy on X](https://x.com/karpathy/status/1886192184808149383) - "There's a new kind of coding I call "vibe coding", where you fully give in to the vibes, embrace exponentials, and forget that the code even exists. (.) I'm building a project or webapp, but it's not really coding - I just see stuff, say stuff, run stuff, and copy paste stuff, and it mostly works".
+- [Vibe coding - Wikipedia](https://en.wikipedia.org/wiki/Vibe_coding) - Wikipedia article defining vibe coding and tracing its origin.
+- [Vibe coding is passé - The New Stack](https://thenewstack.io/vibe-coding-is-passe/) - Karpathy's evolution of the concept toward "agentic engineering".
+- [automata/aicodeguide](https://github.com/automata/aicodeguide) - A roadmap to start coding with AI.
+
+## Browser-based Tools
+
+- [Bolt.new](https://bolt.new/) - Prompt, run, edit, and deploy full-stack web and mobile apps.
+- 🔥 [Lovable](https://lovable.dev/) - "Idea to app in seconds. Lovable is your superhuman full stack engineer".
+- [v0 by Vercel](https://v0.dev/chat) - Vibe coding platform for building production apps and agents with Next.js.
+- [Capacity](https://capacity.so/) - Turn your ideas into fully functional web apps in minutes using AI.
+- [Command.new by Langbase](https://command.new) - Prompt to vibe code any AI agent and deploy (agent, app, api).
+- [Replit](https://replit.com/) - "Simply describe your idea above and let the Agent build it for you".
+- [Anything](https://www.create.xyz/) - AI-powered app builder that turns natural language prompts into fully functional web applications (formerly Create.xyz).
+- [Trickle AI](https://www.trickle.so/) - "Build stunning websites, AI apps, and forms with ease".
+- [Tempo](https://www.tempo.new/) - "Build React apps 10x faster with AI". Visual IDE with Figma plugin and MCP App Store.
+- [Softgen](https://softgen.ai/) - "Describe your vision, give instructions, and build full-stack web apps".
+- [Lazy AI](https://getlazy.ai/) - "Build reliable business apps with prompts".
+- [HeyBoss](https://heyboss.ai/) - "Build app & sites in minutes" with a full AI team (CEO, Designer, Developer, Marketer & Copywriter).
+- [Creatr](https://getcreatr.com/) - "Create and deploy web apps and landing pages in seconds".
+- [Rork](https://rork.com/) - "Build any mobile app, fast" with React Native and Expo.
+- [Firebase Studio](https://studio.firebase.google.com/) - Google's agentic cloud-based development environment that helps build and ship production-quality full-stack AI apps.
+- [Napkins.dev](https://www.napkins.dev/) - Screenshot to code using Llama vision models.
+- [HeroUI Chat](https://heroui.chat/) - Generate beautiful apps regardless of your design experience.
+- [Rocket.new](https://www.rocket.new/) - "Build Web & Mobile Apps 10x Faster Without Code".
+- [Google AI Studio](https://aistudio.google.com/) - "Another way to vibecode with Gemini. Great for experimenting".
+- [Emergent](https://emergent.sh/) - Multi-agent AI app builder that plans, codes, tests, and deploys full-stack web and mobile apps autonomously.
+- [Manus](https://manus.im/) - Autonomous AI agent for end-to-end project automation, from research to deployment.
+- [Same.new](https://same.new/) - AI web builder for cloning and creating websites from descriptions.
+
+## IDEs and Code Editors
+
+- [Windsurf](https://windsurf.com/) - Agentic IDE (acquired by Cognition, makers of Devin) with Cascade for multi-step coding and Tab/Supercomplete for completions.
+- 🔥 [Cursor](https://www.cursor.com/) - AI Code Editor with Cloud Agents, JetBrains integration, and 30+ plugins from partners like Atlassian, Datadog, and GitLab.
+- [Zed](https://zed.dev/) - First "Agentic IDE" built in Rust with built-in AI agents and real-time collaboration at 120fps.
+- [Amazon Kiro](https://kiro.dev) - The AI IDE for prototype to production, with spec-driven development and AWS integrations.
+- [Google Antigravity](https://antigravity.google/) - Google's agentic development platform with Manager view for orchestrating multiple agents in parallel. Free, cross-platform.
+- [Orchids](https://www.orchids.app/) - The Vibe Coding IDE that can build, watch, and listen on par with a human developer.
+- [Trae IDE](https://www.trae.ai/) - Free AI IDE by ByteDance with Builder Mode, free access to GPT-4o, Claude Sonnet, and DeepSeek R1.
+- [Devin](https://devin.ai/) - Autonomous AI software engineer by Cognition with its own IDE, shell, browser, and cloud sandbox.
+
+## Mobile Apps
+
+- [VibeCode](https://www.vibecodeapp.com/) - The app that builds apps. Available on iOS and Android.
+
+## Plugins and Extensions
+
+- [Cline](https://cline.bot/) - Autonomous AI coding agent for VS Code that plans, creates files, runs builds, and fixes errors using MCP.
+- [Roo Code](https://roocode.com/) - AI dev team with multiple Modes (Code, Architect, Debug), Cloud Agents, and Slack/GitHub integration.
+- [Kilo Code](https://kilocode.ai/) - Open-source AI coding agent for VS Code, JetBrains, and CLI with Orchestrator mode and Memory Bank.
+- [Amp](https://ampcode.com/) - Frontier coding agent with smart, rush, and deep agent modes. Spun out from Sourcegraph as standalone company.
+- [avante.nvim](https://github.com/yetone/avante.nvim) - Neovim plugin designed to emulate the behavior of the Cursor AI IDE with AI-driven code suggestions.
+- [backnotprop/prompt-tower](https://github.com/backnotprop/prompt-tower) - A tool that helps you build prompts with many code blocks.
+- [Augment Code](https://www.augmentcode.com/) - An AI coding assistant built for professional software engineers and large codebases, with MCP support.
+- [continuedev/continue](https://github.com/continuedev/continue) - Open-source AI code agent with IDE extensions, CLI tool, and source-controlled AI checks enforceable in CI.
+- [GitHub Copilot](https://github.com/features/copilot) - AI pair programmer with agent mode, multi-model support (Claude, GPT, Gemini), and agentic coding across VS Code and JetBrains.
+- [Amazon Q Developer – AWS](https://aws.amazon.com/q/developer) - Amazon's Generative AI Assistant for Software Development.
+- [Superdesign.dev](https://www.superdesign.dev/) - Open Source Design Agent.
+- [Tabby](https://github.com/TabbyML/tabby) - Self-hosted AI coding assistant, open-source alternative to GitHub Copilot with code completion and repository-level context.
+- [CodeCompanion.nvim](https://github.com/olimorris/codecompanion.nvim) - Neovim plugin for AI-assisted coding with agents, slash commands, and multiple LLM support.
+- [Junie](https://github.com/JetBrains/Junie) - LLM-agnostic coding agent by JetBrains for terminal, IDE, and CI/CD.
+- [copilot.vim](https://github.com/github/copilot.vim) - Official GitHub Copilot plugin for Vim/Neovim.
+- [Cody](https://sourcegraph.com/cody) - Free AI code assistant by Sourcegraph with deep codebase understanding and code indexing.
+- [Qodo Gen](https://www.qodo.ai/) - AI-powered coding platform for VS Code with testing, code review, and agentic tools.
+- [Skills.sh](https://skills.sh/) - Open ecosystem by Vercel for installing reusable AI agent skills with a single command across 18+ platforms.
+
+## Local Apps
+
+- [CCHub](https://github.com/Moresl/cchub) - Desktop app for managing the Claude Code ecosystem — MCP server marketplace, config profile switching, workflow templates, security audit, and autopilot. Built with Tauri + React + Rust.
+
+- 🔥 [Dyad](https://www.dyad.sh/) - Free, local, open-source AI app builder. Model-agnostic, supports cloud models and local via Ollama.
+- [bolt.diy](https://github.com/stackblitz-labs/bolt.diy) - Open-source version of Bolt.new with Electron desktop apps, 19+ AI providers, and local model support via Ollama.
+- [Superset](https://github.com/superset-sh/superset) - Desktop app to orchestrate multiple AI coding agents in parallel (Claude Code, Codex, etc.) with Git worktree isolation.
+- [Parallel Code](https://github.com/johannesjo/parallel-code) - Desktop app for running multiple AI coding agents (Claude Code, Codex CLI, Gemini CLI) simultaneously in isolated git worktrees.
+
+## Command Line Tools
+
+- 🔥 [anthropics/claude-code](https://github.com/anthropics/claude-code) - Coding agent that understands your codebase, automates tasks, explains code, and manages Git, all via natural language.
+- [aider](https://aider.chat/) - AI pair programming in your terminal. Git-first with multi-file coordinated changes across 100+ languages.
+- [goose](https://block.github.io/goose/) - Open-source, on-machine AI agent by Block that connects to systems via MCP for extensible automation.
+- [OpenHands](https://github.com/All-Hands-AI/OpenHands) - Open-source AI-driven development agent with CLI, GUI, and cloud modes, supporting Claude, GPT, and other models.
+- [Plandex](https://github.com/plandex-ai/plandex) - Terminal-based AI coding agent with REPL mode for planning and executing complex tasks across multiple files, 2M token context.
+- [claude-engineer](https://github.com/Doriandarko/claude-engineer) - A self-improving AI coding assistant CLI built on Claude that can generate and manage its own tools.
+- [aichat](https://github.com/sigoden/aichat) - All-in-one LLM CLI tool featuring shell assistant, REPL mode, RAG, AI tools and agents, supporting 20+ providers.
+- [gptme](https://github.com/ErikBjare/gptme) - A personal AI agent in your terminal, equipped with local tools for coding, shell commands, file editing, and web browsing.
+- [OpenAI Codex CLI](https://github.com/openai/codex) - OpenAI's coding agent in the terminal with Codex Cloud, IDE extension, and multi-model support.
+- [Gemini CLI](https://github.com/google-gemini/gemini-cli) - An open-source AI agent from Google that brings the power of Gemini directly into your terminal. Generous free tier (60 req/min, 1000/day).
+- [GitHub Copilot CLI](https://github.com/github/copilot-cli) - Full agentic development environment in the terminal with Autopilot mode, multi-model support, and GitHub integration. GA since Feb 2026.
+- [MyCoder.ai](https://github.com/drivecore/mycoder) - Open source AI-powered coding assistant with Git and GitHub integration, featuring parallel execution and self-modification capabilities.
+- [ai-christianson/RA.Aid](https://github.com/ai-christianson/RA.Aid) - A standalone coding agent built on LangGraph's agent-based task execution framework.
+- [CodeSelect](https://github.com/maynetee/codeselect) - A Python-based command-line tool that efficiently communicates project source code to AIs.
+- [QwenLM/qwen-code](https://github.com/QwenLM/qwen-code) - "qwen-code is a coding agent that lives in digital world".
+- [Warp](https://warp.dev/) - A modern, AI-powered terminal built for teams and individuals, featuring AI command search and workflows.
+- [charmbracelet/crush](https://github.com/charmbracelet/crush) - "The glamorous AI coding agent for your favourite terminal", multi-model with beautiful TUI.
+- [Warp](https://www.warp.dev/) - Agentic development environment with Oz orchestration platform for running unlimited parallel coding agents.
+- [langchain-code](https://github.com/zamalali/langchain-code) - LangChain-based coding agent for AI-assisted development. Supports Gemini, Anthropic, OpenAI, and Ollama.
+- [kimi-cli](https://github.com/MoonshotAI/kimi-cli) - Official command-line interface for Kimi, an AI assistant that helps with coding tasks and development workflows.
+- [Cloudflare/vibesdk](https://github.com/cloudflare/vibesdk) - Cloudflare's SDK for vibe coding.
+- [superagent-ai/vibekit](https://github.com/superagent-ai/vibekit) - A toolkit for building vibe coding applications.
+- [mistralai/mistral-vibe](https://github.com/mistralai/mistral-vibe) - Mistral AI's vibe coding tool.
+- [HKUDS/DeepCode](https://github.com/HKUDS/DeepCode) - Deep learning for code analysis and generation. Achieves SOTA on PaperBench.
+- [Gentleman-Programming/gentleman-guardian-angel](https://github.com/Gentleman-Programming/gentleman-guardian-angel) - Provider-agnostic code review using AI. Use Claude, Gemini, Codex, Ollama to enforce your coding standards.
+- [superagent-ai/grok-cli](https://github.com/superagent-ai/grok-cli) - Command-line interface for AI-powered coding assistance.
+- [OpenCode](https://opencode.ai/) - Open-source AI coding agent for the terminal with LSP support, 75+ LLM providers, and multi-session workflows.
+- [onWatch](https://github.com/onllm-dev/onwatch) - Open-source Go CLI that tracks AI API quota usage across 7 providers (Anthropic, OpenAI, GitHub Copilot, MiniMax, and more). Works with Claude Code, Codex CLI, Cursor, Cline, and other vibe coding tools. Background daemon, <50MB RAM, zero telemetry.
+- [pyscn](https://github.com/ludo-technologies/pyscn) - Code quality analyzer for vibe-coded Python. Detects dead code, clones, complexity issues, and coupling problems with MCP integration for AI assistants.
+
+## Task Management for AI Coding
+
+- [Boomerang Tasks](https://docs.roocode.com/features/boomerang-tasks) - Automatically break down complex projects into smaller, manageable pieces.
+- [Claude Task Master](https://github.com/eyaltoledano/claude-task-master) - An AI-powered task-management system you can drop into Cursor, Lovable, Windsurf, Roo, and others.
+- 🔥 [vibe-kanban](https://github.com/BloopAI/vibe-kanban) - A kanban board to manage and orchestrate AI coding agents. Supports 10+ coding agents.
+- [CCPM (Claude Code PM)](https://github.com/automazeio/ccpm) - Project management for Claude Code using GitHub Issues and Git worktrees for parallel agent execution.
+- [Archon](https://github.com/coleam00/Archon) - Knowledge and task management backbone for AI coding assistants via MCP.
+- [AI-DLC Workflows (AWS Labs)](https://github.com/awslabs/aidlc-workflows) - AI-Driven Development Life Cycle workflow rules for coding agents. Supports Kiro, Q Developer, Cursor, Cline, Claude Code.
+
+## Documentation for AI Coding
+
+- [CodeGuide](https://www.codeguide.dev/) - Creates detailed Documentation for your AI Coding Projects.
+- [AGENTS.md](https://agents.md/) - A simple, open format for guiding coding agents, stewarded by the Linux Foundation.
+- [KhazP/vibe-coding-prompt-template](https://github.com/KhazP/vibe-coding-prompt-template) - A prompt template for vibe coding.
+- [awesome-ralph](https://github.com/snwfdhmp/awesome-ralph) - A curated list of resources about Ralph, the vibe coding technique that runs vibe coding agents in automated loops until specifications are fulfilled.
+- [Context7](https://github.com/upstash/context7) - Delivers up-to-date, version-specific documentation directly into LLM prompts. MCP server + CLI.
+- [awesome-cursorrules](https://github.com/PatrickJS/awesome-cursorrules) - Curated collection of `.cursorrules` configuration files for the Cursor AI editor.
+- [llms.txt](https://github.com/AnswerDotAI/llms-txt) - Standardized markdown file specification for making website documentation LLM-friendly.
+- [claude-reflect](https://github.com/BayramAnnakov/claude-reflect) - Self-learning system for Claude Code that captures corrections and syncs approved learnings to CLAUDE.md files.
+- [EnzeD/vibe-coding](https://github.com/EnzeD/vibe-coding) - The Ultimate Guide to Vibe Coding with best practices and tips.
+- [Claude Code Organizer](https://github.com/mcpware/claude-code-organizer) - Visual dashboard and MCP server to organize Claude Code memories, skills, MCP servers, and hooks with scope hierarchy and drag-and-drop.
+- 🔥 [getdesign.md](https://getdesign.md/) - Browsable library of DESIGN.md files curated from real websites.
+
+## Communities & Job Boards
+
+- [Vibehackers](https://vibehackers.io) - Community gallery for vibe coded projects and curated job board.
+- [/r/vibecoding](https://www.reddit.com/r/vibecoding/)
+- [/r/ChatGPTCoding](https://www.reddit.com/r/ChatGPTCoding/)
+- [Vibe Coding Forem](https://vibe.forem.com/) - Community forum for AI-assisted development discussions.
+- [Vibe Coding Community](https://github.com/Vibe-Coding-Community) - A space for sharing tools, best practices, and projects created with vibe coding.
+
+## News and Social Media
+
+> This section displays items in reverse chronological order, with the most recent entries at the top.
+
+- [Vibe-Coding Triggered Major Outages at Amazon](https://belitsoft.com/news/vibe-coding-amazon-outage-20261003) - How GenAI-assisted changes triggered production outages.
+- [The State of Vibe Coding: A 2026 Strategic Blueprint | Keywords Studios](https://www.keywordsstudios.com/en/about-us/news-events/news/the-state-of-vibe-coding-a-2026-strategic-blueprint/)
+- [How Vibe Coding Is Killing Open Source | Hackaday](https://hackaday.com/2026/02/02/how-vibe-coding-is-killing-open-source/)
+- [The uncomfortable truth about vibe coding | Red Hat Developer](https://developers.redhat.com/articles/2026/02/17/uncomfortable-truth-about-vibe-coding)
+- [Vibe coding could cause catastrophic 'explosions' in 2026 - The New Stack](https://thenewstack.io/vibe-coding-could-cause-catastrophic-explosions-in-2026/)
+- [Vibe coding will become mainstream in 2026 - Verdict](https://www.verdict.co.uk/vibe-coding-mainstream-in-2026/)
+- [The Prompt Engineering Playbook for Programmers](https://addyo.substack.com/p/the-prompt-engineering-playbook-for)
+- [What is vibe coding? A computer scientist explains what it means to have AI write computer code − and what risks that can entail](https://theconversation.com/what-is-vibe-coding-a-computer-scientist-explains-what-it-means-to-have-ai-write-computer-code-and-what-risks-that-can-entail-257172)
+- [Peer Programming with LLMs, For Senior+ Engineers](https://pmbanugo.me/blog/peer-programming-with-llms)
+- 🔥 [The Way of Code | Rick Rubin](https://www.thewayofcode.com/)
+- [The State of Vibe Coding Tools (May 2025) | LinkedIn](https://www.linkedin.com/pulse/state-vibe-coding-tools-may-2025-nufar-gaspar-x1znf/?trackingId=iJSsdxE4R9OECPT43FtBww%3D%3D)
+- [Vibe coding MenuGen | karpathy](https://karpathy.bearblog.dev/vibe-coding-menugen/)
+- [Two publishers and three authors fail to understand what "vibe coding" means](https://simonwillison.net/2025/May/1/not-vibe-coding/)
+- [Not all AI-assisted programming is vibe coding (but vibe coding rocks)](https://simonwillison.net/2025/Mar/19/vibe-coding/)
+- [Vibe Coding 101 with Replit - DeepLearning.AI](https://www.deeplearning.ai/short-courses/vibe-coding-101-with-replit/)
+- [The "vibe coding" mind virus explained… by Fireship - YouTube](https://www.youtube.com/watch?v=Tw18-4U7mts)
+- [bolt.new on X - Introducing Figma to Bolt](https://x.com/boltdotnew/status/1900197121829331158)
+- [Will the future of software development run on vibes? - Ars Technica](https://arstechnica.com/ai/2025/03/is-vibe-coding-with-ai-gnarly-or-reckless-maybe-some-of-both/)
+- [Vibe Coding - Where Everyone Can 'Speak' Computer Programming - The New Stack](https://thenewstack.io/vibe-coding-where-everyone-can-speak-computer-programming/)
+- [A.I. and Vibecoding Helped Me to Create My Own Software - The New York Times](https://www.nytimes.com/2025/02/27/technology/personaltech/vibecoding-ai-software-programming.html)
+- [Vibe Engineering](https://www.manning.com/books/vibe-engineering)
+- [Mysti](https://github.com/DeepMyst/Mysti) - Multi-agent AI coding assistant for VS Code. Claude Code, Codex, Gemini, and GitHub Copilot brainstorm together and deliver collaborative solutions.
+
+## Contribute
+
+Contributions welcome! Read the [contribution guidelines](CONTRIBUTING.md) first.
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