refactor: move research domain to repository root (#58)

Move the complete research domain from docs/research to root-level research, update indexes and path-aware tooling, and align raw snapshot governance and CODEOWNERS.\n\nVerified with make test and GitHub CI.
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tradecatlabs
2026-07-11 22:18:37 +08:00
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# ai-for-developers/awesome-vibe-coding 研究域 Agent 指南
本目录维护 `ai-for-developers/awesome-vibe-coding` 的独立研究域。
## 目录职责
```text
ai-for-developers-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
├── deep-dive.md # L2 结构深度研究、关键机制、迁移边界和验证任务
└── 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 `ai-for-developers/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。
- 如果需要横向比较,在 `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``make test`
@@ -0,0 +1,59 @@
# ai-for-developers/awesome-vibe-coding 研究域
## 字多不看
- 本目录研究 `ai-for-developers/awesome-vibe-coding` 这个外部仓库。
- 当前优先级:P3;研究角色:精选 Vibe Coding 资料清单。
- 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 结构深度研究、关键机制、迁移边界和验证任务。 |
| [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 结构深度研究、关键机制、迁移边界和验证任务。
- [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` 的结构化研究结论,再读 `deep-dive.md` 的 L2 证据,
最后读 `domain.yml` 的事实字段。
- 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
`ai-for-developers/awesome-vibe-coding` 的当前研究定位是:精选 Vibe Coding 资料清单。
### 当前判断
适合作为 awesome-vibe-coding 的补充索引。
### 观察字段
- GitHub URLhttps://github.com/ai-for-developers/awesome-vibe-coding
- 当前研究方向:`ecosystem-index`
- 当前优先级:P3
- 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 +1,64 @@
# ai-for-developers/awesome-vibe-coding 研究分析
## 本轮结论
`ai-for-developers/awesome-vibe-coding` 的核心价值不是深度判断,而是轻量资源雷达。它用一个
README 把 Web builder、IDE、移动工具、插件、本地应用和 CLI 工具粗分出来,适合帮助本仓发现
候选资源和补分类词表。
本仓不能直接复制它的条目,因为它缺少结构化字段、状态、许可证、最后检查时间和采用风险。正确用法是:
把它作为 `assets/external-resources/` 的候选输入源,经过二次筛选后再进入本地资源注册表。
## 本地证据
- 研究对象:`ai-for-developers/awesome-vibe-coding`
- 当前研究角色:精选 Vibe Coding 资料清单
- 原始仓库:`raw/repository/`
- 原始来源清单:`raw/sources.yml`
- 事实摘要:`domain.yml`
## 对标拆解
| 项 | 内容 |
|:---|:---|
| 参考对象 | `ai-for-developers/awesome-vibe-coding` |
| 它解决的核心问题 | 快速发现 Vibe Coding 工具生态中的候选对象 |
| 核心机制 | 单 README 分类索引,按工具形态组织入口 |
| 真正带来结果的动作 | 用低成本分类让读者知道生态里有哪些工具族 |
| 可迁移做法 | 补充本仓资源分类、发现候选工具、观察工具族变化 |
| 不可迁移条件 | 不直接复制条目,不把 awesome list 当推荐结论 |
| 下一步试用动作 | 抽取分类词,与 `assets/external-resources/categories.yml` 做对照 |
## 改良迭代
| 改良目标 | 原模式 | 本仓版本 | 验证指标 |
|:---|:---|:---|:---|
| 资源发现 | README 手工分类 | 候选资源进入本地注册表前先二次筛选 | 新资源有 category、source、status、last_checked |
| 分类补齐 | Web / IDE / CLI 等工具族 | 本仓资源 category 增加缺失工具族 | 分类能覆盖 Web builder、IDE agent、CLI、plugin、local app |
| 候选升级 | 条目停留在列表 | 高价值条目升级为独立研究域 | 进入 P1/P2 候选必须有采用理由和风险 |
## 可迁移清单
- 使用它补全 Vibe Coding 工具族分类。
- 将条目作为资源候选,不作为最终推荐。
- 对重复出现的工具族提取关键词,反馈到关键词系统。
- 对高频出现的 coding agent、IDE agent、CLI 工具建立 P1/P2 研究候选。
## 不可迁移清单
- 不复制整张 awesome list。
- 不把没有许可证、维护状态和风险说明的条目放进推荐区。
- 不把它当作学习路径或工程规范。
## 验证动作
| 动作 | 成功信号 | 失败信号 |
|:---|:---|:---|
| 抽取分类词并对照本仓资源分类 | 发现缺失分类并能补齐 | 分类无变化,只多一批链接 |
| 抽样 20 条资源做二次筛选 | 每条有采用/不采用理由 | 仍然只是链接搬运 |
| 挑出 3 个高价值工具进入候选研究 | 能说明为什么值得深挖 | 候选没有优先级和风险 |
## 沉淀判断
- 稳定结果进入 `assets/external-resources/``metadata/taxonomy.yml`
- 本研究域保持 P3 低频雷达,不升级为方法论主线。
@@ -0,0 +1,74 @@
# ai-for-developers/awesome-vibe-coding 深度研究
## 研究级别
- 当前级别:L2 结构深度研究。
- 研究对象:`ai-for-developers/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
`ai-for-developers/awesome-vibe-coding` 的核心价值不是方法论,而是轻量生态雷达。它用单个
README 把 Vibe Coding 相关工具、文章、项目文档、CLI、IDE、插件、监控和任务管理入口压成一张
候选清单,适合发现资源缺口和观察生态分类。
对本仓最重要的启发是:awesome list 只能作为候选入口,不能直接成为推荐结论。资源一旦进入
本仓,需要经过分类、去重、许可证、维护状态、最后检查时间和采用理由等治理字段。
## 本地证据
- `raw/repository/readme.md`:主清单入口,按工具形态组织资源。
- `raw/github-root-contents.raw.json`:仓库根目录事实,显示该项目主要由单一 README 承载。
- `raw/github-languages.raw.json`:语言统计为空,说明它不是代码产品或课程仓库。
- `raw/sources.yml``license``latest-release` 抓取均为缺失或错误,说明采用前必须二次核验。
- `domain.yml`:当前优先级为 P3,研究方向为 `ecosystem-index`
## 关键机制
### 低摩擦收集入口
单 README 清单降低了贡献和阅读门槛。它适合快速收集候选工具,但也意味着事实字段、验证状态和
生命周期管理都很弱。
### 按工具形态分类
README 将资源分散到 Web builder、IDE、mobile tool、extension、desktop/local app、CLI tool、
task management、monitoring、documentation 和 article 等类别。这个分类方式能帮助本仓检查
资源库是否缺少某类入口。
### 生态雷达而非采用证据
项目本身没有测试、脚本、schema、资源状态字段或许可证治理。它可以告诉我们“有哪些候选对象”,
但不能告诉我们“哪些对象应该被本仓推荐”。
## 可迁移模式
- 用轻量清单发现本仓资源分类缺口。
- 把 Web、IDE、CLI、插件、桌面、本地、监控、文档和文章作为资源候选维度。
- 将每个候选资源先进入 `assets/external-resources/` 或研究域,而不是直接进入稳定教程。
- 为 awesome list 类资源设置低优先级观察状态,只有被验证后才升级到 P1/P2。
- 对缺少许可证、release、维护状态的资源建立默认风险标记。
## 对本仓的影响
本仓不应该把该项目内容照搬到资源页,而应该把它作为资源治理的输入:
- 对照本仓资源表,检查是否缺少 IDE、CLI、插件、监控、任务管理和项目文档类资源。
- 把候选资源转换为结构化字段:名称、类别、来源、许可证、状态、最后检查时间和采用理由。
- 将高价值候选对象单独拆成研究域,避免继续做大杂烩索引。
-`research-transfer-synthesis.md` 中保留它的定位:轻量工具分类雷达。
## 风险和待验证项
- 缺少许可证信息,不能直接复制内容或列表结构作为本仓稳定资产。
- 单 README 清单容易过期,必须以本仓刷新日期和二次核验为准。
- 该项目没有工程闭环,不能支撑 scripts、workflow 或 skills 的设计结论。
- stars 和更新时间属于动态事实,后续引用前必须重新核验 GitHub。
## 下一步 L3 验证任务
- 抽取 20 个候选资源进入本仓资源候选表,补齐类别、许可证、状态和最后检查时间。
- 对照本仓资源库,找出当前缺失的工具形态分类。
- 为 awesome list 类来源增加 `radar_only` 或等价状态,防止被误读为正式推荐。
- 将被多源交叉验证的候选对象升级为独立研究域,而不是继续堆在资源清单里。
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version: 1
repo:
name: ai-for-developers/awesome-vibe-coding
source_name: ai-for-developers/awesome-vibe-coding
url: https://github.com/ai-for-developers/awesome-vibe-coding
research:
domain_id: ai-for-developers-awesome-vibe-coding
domain_name: ai-for-developers/awesome-vibe-coding 研究域
primary_direction: ecosystem-index
role: 精选 Vibe Coding 资料清单
priority: 3
why_study: 适合作为 awesome-vibe-coding 的补充索引。
github_observed:
observed_at: '2026-07-03'
source: gh repo view
stars: 767
forks: 166
archived: false
language: null
license: null
default_branch: main
pushed_at: '2026-04-18T13:36:43Z'
updated_at: '2026-07-02T14:24:51Z'
latest_release: null
homepage: ''
topics:
- ai
- ai-app-builder
- ai-ide
- vibe
- vibe-coding
- vibecoding
- awesome-vibe-coding
- ai-agents
- ai-tools
- awesome-ai
- awesome-ai-tools
- awesome-list
- vibecode
- vibecoding-tool
source_evidence:
file: ChatGPT-中文Vibe Coding仓库 (2).md
line: 50
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 `ai-for-developers/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``decisions.md`
@@ -0,0 +1,16 @@
# raw 事实层
本目录保存 `ai-for-developers/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 +1,177 @@
# Awesome Vibe Coding [![Awesome](https://awesome.re/badge.svg)](https://awesome.re)
> A hand-picked collection of tools and references for building software with the help of AI—through prompts, iterations, and exploration.
## Overview
This list focuses on tools and workflows where AI plays a central role in the development process. Instead of traditional coding, this approach emphasizes describing ideas, iterating quickly, and trusting the process—even when youre not sure where its headed.
*You can find a searchable, more detailed list on [AI For Developers](https://aifordevelopers.org)*
----
**Reach thousands of developers building with AI by sponsoring this list, our [newsletter](https://aifordevelopers.substack.com/) and [AI For Developers](https://aifordevelopers.org/). Contact us at [aifordevelopers.org/advertise](https://aifordevelopers.org/advertise)**
----
## Table of Contents
* [What is](#what-is)
* [Web-Based Builders](#web-based-builders)
* [Editors and IDEs](#editors-and-ides)
* [Mobile Tools](#mobile-tools)
* [Extensions & Plugins](#extensions--plugins)
* [Desktop & Local Apps](#desktop--local-apps)
* [CLI Tools](#cli-tools)
* [AI-Driven Task Management](#ai-driven-task-management)
* [Monitoring & Cost Tracking](#monitoring--cost-tracking)
* [Project Documentation](#project-documentation)
* [Articles & Updates](#articles--updates)
* [Contributing](#contributing)
---
## What is
* [Karpathy on the "vibe coding" mindset](https://x.com/karpathy/status/1886192184808149383) — Not traditional coding. More like shaping software through language and intuition.
* [AI Coding Guide by Automata](https://github.com/automata/aicodeguide) — A structured starting point for newcomers using AI-first development approaches.
---
## Web-Based Builders
* [Bolt.new](https://bolt.new/) — Rapidly prototype and launch web and mobile apps by prompting.
* [Lovable](https://lovable.dev/) — Full-stack applications from simple ideas.
* [Vercels v0](https://v0.dev/chat) — Helps design and implement UIs from natural language.
* [Capacity](https://capacity.so/) — Create production-ready web apps in minutes.
* [CHAI.new](https://chai.new) — Code and deploy AI agents with prompts.
* [Replit](https://replit.com/) — Type what you want and let the AI construct it.
* [Create](https://www.create.xyz/) — Converts text prompts into usable tools or websites.
* [Trickle](https://www.trickle.so/) — AI-based visual builder for websites and apps.
* [Tempo](https://www.tempo.new/) — Build React projects much faster through AI assistance.
* [Softgen](https://softgen.ai/) — Describe a concept and generate a working full-stack app.
* [Lazy AI](https://getlazy.ai/) — Enterprise-focused prompt-based application builder.
* [HeyBoss](https://www.heyboss.xyz/) — Generate functional websites quickly.
* [Creatr](https://getcreatr.com/) — Build landing pages and simple apps instantly.
* [Rork](https://rork.app/) — A tool focused on generating mobile apps.
* [Firebase Studio](https://studio.firebase.google.com/) — Google's take on agent-driven full-stack development.
* [Napkins](https://www.napkins.dev/) — Converts mockups or screenshots into working code.
* [HeroUI Chat](https://heroui.chat/) — Build interfaces without design expertise.
* [Rocket.new](https://www.rocket.new/) — Low-code experience for shipping apps.
* [embedible.io](https://embedible.io/) - AI that transforms your electronics ideas into working projects.
* [FlyPloy](https://flyploy.com/en) — A modern application deployment platform that simplifies global delivery with one-click deploys, Docker, and Kubernetes support. Ideal for launching AI-assisted applications in seconds.
* [MyVibe](https://myvibe.so/) — Instant deployment for AI-generated web apps. Publish via Claude Code skills or direct upload.
* [Rosebud AI](https://rosebud.ai) — Vibe coding platform for creating 3D games and interactive web apps with AI.
* [Forge](https://forge-web.rebaselabs.online/) — AI-powered full-stack app creator with BYOK (bring your own API key). Multi-stage pipeline: planning, architecture, code generation, and verification.
---
## Editors and IDEs
* [Windsurf](https://codeium.com/windsurf) — AI-focused development environment by Codeium.
* [Cursor](https://www.cursor.com/) — One of the most advanced AI-first code editors.
* [Zed](https://zed.dev/) — Built for real-time team collaboration with AI assistance.
* [Amazon Kiro](https://kiro.dev) — An AI-powered IDE from prototype to production.
---
## Mobile Tools
* [VibeCode](https://www.vibecodeapp.com/) — A mobile-first app creator powered by AI.
* [IM.codes](https://github.com/im4codes/imcodes) — Mobile/web control layer for Claude Code, Codex, Gemini CLI, and other terminal-based coding agents.
---
## Extensions & Plugins
* [Cline](https://cline.bot/) — Connects to your CLI and editor, interprets natural commands.
* [Roo Code](https://github.com/RooVetGit/Roo-Code) — An enhanced version of Cline.
* [avante.nvim](https://github.com/yetone/avante.nvim) — Neovim integration modeled after Cursors AI features.
* [Prompt Tower](https://github.com/backnotprop/prompt-tower) — A prompt creation interface supporting complex code blocks.
* [Augment Code](https://www.augmentcode.com/) — Tailored for navigating and working with large repositories.
* [Continue](https://github.com/continuedev/continue) — Build your own in-editor AI agents using plugins and rules.
* [GitHub Copilot](https://github.com/features/copilot) — Integrated assistant offering code suggestions, chats, and context-aware actions.
* [Amazon Q](https://aws.amazon.com/q/developer) — AWSs generative AI solution for developers.
* [Superdesign](https://www.superdesign.dev/) — AI design agent for fast UI iterations.
* [toprank](https://github.com/nowork-studio/toprank) — Open-source Claude Code plugin with 9 SEO and Google Ads skills. Connects Google Search Console, PageSpeed Insights, and Google Ads API; ships meta tag and schema markup fixes to WordPress/Strapi/Contentful/Ghost. MIT, 107⭐.
* [dbForge AI Assistant](https://www.devart.com/dbforge/ai-assistant/) - Integrated AI tool that generates, optimizes, explains, and fixes SQL queries.
* [Frontman](https://github.com/frontman-ai/frontman) — Open-source AI agent that lives in your browser — click any element, describe changes in plain English, and get real code edits with hot reload. Works with Next.js, Vite, and Astro.
* [Mysti](https://github.com/DeepMyst/Mysti) - Multi-agent AI coding assistant for VS Code with brainstorm mode. Supports Claude Code, Codex, Gemini, Cline, and GitHub Copilot.
* [AgentLint](https://github.com/0xmariowu/AgentLint) — 33 evidence-backed checks for AI-friendly repos — file structure, instruction quality, build setup, session continuity, security posture. Claude Code plugin.
---
## Desktop & Local Apps
* [Dyad](https://www.dyad.sh/) — A lightweight, local platform for creating AI-driven apps without depending on the cloud.
* [ClaudeCode Launchpad CLI](https://github.com/noambrand/kivun-terminal) — Windows & macOS installer and launcher for Claude Code. 2-minute setup: auto-installs Node.js, Git & Claude Code; adds a live two-line status bar (model, context %, usage limits), desktop shortcut with folder picker, and right-click "Open with ClaudeCode Launchpad CLI" context menu on Windows folders.
---
## CLI Tools
* [claude-code](https://github.com/anthropics/claude-code) — Works across codebases, provides explanations, automates tasks.
* [memov](https://github.com/memovai/memov) — Git-based, traceable memory layer for Claude Code.
* [aider](https://aider.chat/) — Code side-by-side with AI from your terminal.
* [Goose](https://block.github.io/goose/) — Local agent framework compatible with multiple models.
* [MyCoder.ai](https://github.com/drivecore/mycoder) — Modular agent with GitHub integration.
* [RA.Aid](https://github.com/ai-christianson/RA.Aid) — Task-based AI built with LangGraph.
* [CodeSelect](https://github.com/maynetee/codeselect) — Sends structured source context to LLMs.
* [OpenAI Codex CLI](https://github.com/openai/codex) — Experimental terminal assistant.
* [Gemini CLI](https://github.com/google-gemini/gemini-cli) — Terminal assistant built around Google Gemini.
* [ReviewCerberus](https://github.com/Kirill89/reviewcerberus) - Open-source AI code review tool for analyzing git branch differences with comprehensive security, performance, and quality analysis.
* [OpenPaw](https://github.com/daxaur/openpaw) — Turns Claude Code into a personal assistant with 38 skills for email, calendar, Spotify, smart home, and more.
* [Autohand Code CLI](https://github.com/autohandai/code-cli) — Self-evolving autonomous coding agent for the terminal with 40+ tools, multi-LLM support, and a modular skills system.
* [Bernstein](https://github.com/chernistry/bernstein) — Deterministic orchestrator for vibe coding at scale. Spawns parallel AI coding agents from a single goal, verifies with tests, auto-commits.
* [sober-coding](https://github.com/voidborne-d/sober-coding) — Vibe code quality analyzer. 27 checks across security, architecture, duplication, error handling, dependencies, testing, and dead code. Language-agnostic with fix suggestions and CI mode.
* [VibeGrid](https://github.com/jcanizalez/vibegrid) — Multi-agent terminal manager with task queues, workflow automation, and inline diff review.
---
## AI-Driven Task Management
* [Boomerang Tasks](https://docs.roocode.com/features/boomerang-tasks) — Automatically turns big ideas into task queues.
* [Claude Task Master](https://github.com/eyaltoledano/claude-task-master) — Compatible with popular AI IDEs, breaks down work into subtasks.
* [agent-hub](https://github.com/Dominic789654/agent-hub) — Local-first multitask board for routing, sequencing, and observing repo-local coding agents across projects.
---
## Monitoring & Cost Tracking
* [Budi](https://github.com/siropkin/budi) — Local-first cost analytics for AI coding agents. Tracks token usage and spend across Claude Code and Cursor.
---
## Project Documentation
* [CodeGuide](https://www.codeguide.dev/) — Tool that builds documentation for AI-built projects.
* [LynxPrompt](https://github.com/GeiserX/LynxPrompt) — Self-hostable AI config management platform for teams. Manages AGENTS.md, CLAUDE.md, .cursor/rules/, slash commands, and 30+ formats.
* [Claude Code Mastery](https://github.com/ShipWithAI/claude-code-mastery) — Structured course for mastering Claude Code workflows, including security, automation, and multi-agent patterns.
---
## Articles & Updates
* [Prompt Engineering for Developers](https://addyo.substack.com/p/the-prompt-engineering-playbook-for)
* [What Vibe Coding Actually Means](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)
* [LLM Pair Programming](https://pmbanugo.me/blog/peer-programming-with-llms)
* [The Way of Code](https://www.thewayofcode.com/)
* [2025 Tooling Overview on LinkedIn](https://www.linkedin.com/pulse/state-vibe-coding-tools-may-2025-nufar-gaspar-x1znf)
* [Karpathy on Menus and Vibes](https://karpathy.bearblog.dev/vibe-coding-menugen/)
* [Fireship: Mindset Video](https://www.youtube.com/watch?v=Tw18-4U7mts)
* [Ars Technica on AI Development Futures](https://arstechnica.com/ai/2025/03/is-vibe-coding-with-ai-gnarly-or-reckless-maybe-some-of-both/)
* [The New Stack Everyone Can Program](https://thenewstack.io/vibe-coding-where-everyone-can-speak-computer-programming/)
* [NYTimes: Personal Vibe Coding Experience](https://www.nytimes.com/2025/02/27/technology/personaltech/vibecoding-ai-software-programming.html)
* [CodingButVibes What Is Vibe Coding](https://www.codingbutvibes.com/what-is-vibe-coding) — Practical breakdown of the vibe coding approach, with tool comparisons and real developer workflows.
* [Reddit: /r/vibecoding](https://www.reddit.com/r/vibecoding/)
* [Reddit: /r/ChatGPTCoding](https://www.reddit.com/r/ChatGPTCoding/)
* [Vibe Engineering](https://www.manning.com/books/vibe-engineering)
---
## Contributing
Found something interesting or built your own tool? Contributions are encouraged—see the [contribution guide](CONTRIBUTING.md) for details.
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