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Awesome AI Dev Setup Awesome

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A curated list of tools, templates, and configs for developers using or building AI coding agents.

Contents

Agent-Native Templates

Ready-made project scaffolds that give AI coding agents the context, structure, and tooling they need to work effectively. Start here if you want to build or migrate a project for agent-first development.

Platforms and Standards

Claude Code Templates

Other Agent Templates

Agent Config and Rules Sharing

Shared configurations, rules, and skills that define how your AI agent should work across projects and teams. Compose these building blocks to enforce consistent workflows, coding standards, and tool integrations without repeating yourself.

Multi-Agent Orchestration

Skills and Plugins Collections

Curated Collections and Toolkits

Cursor Rules

Cross-Platform Tools

MCP Servers and Integrations

The Model Context Protocol (MCP) is an open standard for connecting AI agents to external tools, APIs, and data sources.

Reference Implementations

Server Development Frameworks

  • jlowin/fastmcp - High-level Python framework for building MCP servers with minimal boilerplate. GitHub Stars
  • mcp-use/mcp-use - Open-source library for connecting any LLM to MCP servers without a dedicated MCP client. GitHub Stars

Curated Directories

AI-Enhanced Terminals and Shells

AI Coding Agents in the Terminal

  • anthropics/claude-code - Anthropic's terminal-native AI coding agent with deep file system and shell access. GitHub Stars
  • OpenAI/codex - OpenAI's CLI coding agent for terminal-based AI-assisted software development. GitHub Stars

AI Shell Tools

  • BuilderIO/ai-shell - CLI that converts natural language descriptions into runnable shell commands. GitHub Stars
  • charmbracelet/mods - AI on the command line, designed to compose cleanly with Unix pipes and shell scripts. GitHub Stars
  • sigoden/aichat - All-in-one AI CLI supporting chat, shell assistance, and RAG over local files and docs. GitHub Stars

CLI Scaffolding Patterns

Well-designed CLI tools whose architecture and UX patterns are worth studying when building AI-driven scaffolding or developer tooling. Each entry demonstrates a different approach to interactivity, extensibility, or template management.

Modern Scaffolding Frameworks

  • nrwl/nx - Plugin-based generators with custom workspace generators in TypeScript. GitHub Stars
  • oclif/oclif - Lifecycle hooks and auto-generated help used by Salesforce and Heroku CLI. GitHub Stars
  • t3-oss/create-t3-app - Interactive step-by-step prompts with modular optionality. GitHub Stars
  • Vercel/turborepo - Zero-config TypeScript generators using existing workspace as template. GitHub Stars

Micro-Generators

Contributing

Contributions welcome! Read the contribution guidelines first.


Star History Chart


CC0

To the extent possible under law, the contributors have waived all copyright and related or neighboring rights to this work.

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Curated list of tools, templates, and configs for AI-assisted development

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