Showing 17 of 17 tools
Spec-driven development for AI coding assistants
An open-source tool for generating detailed API specifications from natural language descriptions and existing codebases. Produces OpenAPI-compatible specs automatically, streamlines API documentation workflows, and helps teams maintain consistent, up-to-date API contracts across services. Reduces the manual effort of writing and maintaining API specs by inferring endpoints, schemas, and parameters from your actual code.
Open standard for guiding AI coding agents at the repository level
AGENTS.md is an open standard format adopted by 60,000+ open-source projects for providing AI coding agents with repository-level instructions. With 20,000+ GitHub stars, it has been adopted by GitHub Copilot, OpenAI Codex, Google Gemini CLI, and multiple IDEs as the de facto way to communicate project context and coding conventions to AI agents.
Twelve-lesson curriculum for building AI coding agents from scratch
Learn Claude Code is a comprehensive educational framework with 12 structured lessons teaching AI coding agent construction from first principles. With over 46,000 GitHub stars and 7,000 forks, it provides complete runnable Python implementations progressing from a 50-line bash agent to a 550-line skills agent with modular extensibility and subagent orchestration.
Meta-prompting and context engineering system for Claude Code agents
GSD is a meta-prompting, context engineering, and spec-driven development system designed for Claude Code and compatible AI coding agents. With over 46,000 GitHub stars, it implements a structured four-phase workflow of Discuss, Plan, Execute, and Verify to combat context rot in long AI coding sessions. The system uses multi-agent orchestration with persistent file-based memory.
AI-driven development workflow template
A template system that bootstraps AI-driven development workflows for your projects. Provides structured workflows, templates, and configurations for integrating AI agents into your development process. Reduces setup time by giving teams a proven starting point for organizing AI-assisted coding, task management, and quality assurance in new and existing repositories.
Curated collection of agent skills and capabilities
An opinionated project scaffolding tool that generates AI-ready codebases with pre-configured CLAUDE.md files, git hooks, and CI/CD templates. Ensures new projects follow best practices for AI-assisted development from day one, including structured prompts, context files, and workflow configurations that help AI coding agents understand and navigate the codebase effectively.
Toolkit for spec-driven development with AI
GitHub's official toolkit for spec-driven development. Write specifications in natural language and let AI coding agents implement them with structure, consistency, and traceability. Bridges the gap between product requirements and AI-generated code by providing a standardized format that agents can follow reliably across complex projects.
TypeScript AI agent standard library
Standard library of AI tools and integrations for TypeScript-based agents. Works with any AI SDK and includes ready-made integrations for search, web scraping, email, and other common tool patterns. Saves developers from rebuilding common agent capabilities from scratch, providing well-tested, type-safe building blocks for rapid AI agent development.
LLM testing and evaluation toolkit
Open-source agent framework for building autonomous AI systems with tool use, memory, and multi-step reasoning. Provides abstractions for creating agents that can plan, execute, and learn from interactions. Supports multiple LLM backends and integrates with popular vector stores and tool libraries, making it a flexible foundation for custom AI agent development.
Programming — not prompting — LLMs
AI-powered search API that delivers grounded, cited answers from real-time web data. Integrates into applications to provide accurate, up-to-date information without building custom search infrastructure. Ideal for AI agents and chatbots that need factual responses backed by sources, combining web search with LLM synthesis for reliable information retrieval.
Type-safe LLM function builder
Enterprise-grade AI platform for deploying and managing production LLM applications. Provides prompt management, A/B testing, model routing, and cost optimization across multiple providers. Includes evaluation frameworks and monitoring dashboards, helping teams move from prototype to production with the governance and reliability controls that enterprise deployments demand.
Structured generation for LLMs
Open-source LLM observability and evaluation platform. Trace every LLM call, measure quality with customizable metrics, and debug production issues with detailed request logs. Integrates with LangChain, OpenAI, and other frameworks. Gives teams visibility into AI application behavior, costs, and quality trends that are impossible to track without dedicated tooling.
Structured LLM outputs with validation
Vector database purpose-built for AI applications with millisecond similarity search at any scale. Supports filtering, multi-tenancy, and hybrid search combining dense vectors with sparse representations. Cloud-native with automatic scaling and replication, making it a production-ready foundation for RAG pipelines, recommendation systems, and semantic search applications.
OpenAI's custom chatbot builder and GPT Store
Create personalized GPT assistants with custom instructions, knowledge files, and tool integrations including browsing, DALL-E, and code interpreter. Publish to the GPT Store or keep private with no coding required. Enables anyone to build specialized AI assistants for specific domains, workflows, or audiences using OpenAI's consumer-friendly builder interface.
Claude's inline code and document generation tool
Claude's built-in capability to generate and render interactive artifacts — code, documents, SVGs, React components, and HTML — directly inline within the conversation. No setup required. Turns Claude from a text-only assistant into a creative tool that can produce runnable applications, visualizations, and interactive prototypes during natural conversation.
Curated Claude Code resources
Official Anthropic-curated list of Claude Code tips, CLAUDE.md templates, hooks, MCP servers, and community tools. Essential reference for Claude Code users looking to optimize their workflow. Covers everything from initial setup and configuration best practices to advanced patterns like custom hooks and multi-agent orchestration with the Claude Code CLI.
Community cursor rules directory
Community-maintained collection of .cursorrules files that customize Cursor IDE's AI behavior for specific frameworks, languages, and project types. Define coding conventions, preferred libraries, architectural patterns, and style guidelines that the AI follows consistently. Popular rules exist for Next.js, React, Python, TypeScript, Tailwind, and more. Hosted on cursor.directory with 1-click installation. Essential for getting consistent, project-aware AI completions in Cursor.
