Handpicked resources, specifications, protocols, and tools for AI coding
Essential standards and protocols for modern software development
Lightweight convention for structured commit messages that enable automated changelog generation and semantic versioning
Versioning scheme using MAJOR.MINOR.PATCH format to communicate compatibility and impact of updates
Open protocol enabling secure communication and collaboration between AI agents across different platforms
Decentralized protocol for trustless agent communication with DID-based identity and automatic protocol negotiation
Open protocol for secure agent-led payments using verifiable digital credentials and authorization mandates
Open standard for programmatic commerce flows between AI agents and businesses, enabling secure transactions and payments
Must-read articles about AI coding from industry leaders
Engineering deep dive into the loop connecting prompts, model inference, tool calls, and code changes in Codex
How mobile access, Remote SSH, hooks, and programmatic tokens extend long-running Codex workflows
Cursor's view of the shift from synchronous coding agents to autonomous cloud agents working in parallel
How Cursor evolves context management, evaluates agent quality, and repairs harness regressions
Claude Code updates spanning checkpoints, subagents, hooks, background tasks, and its native VS Code extension
Anthropic's introduction to the open standard connecting AI assistants with data sources, tools, and development environments
Curated tools and utilities for AI coding workflows
Spec-driven development framework for AI coding assistants with organized change management and living documentation
Toolkit for Spec-Driven Development that generates working implementations from executable specifications
Breakthrough Method for Agile AI-Driven Development with specialized AI agents for planning, architecture, and implementation
Agent skill that stress-tests plans and designs through a focused, one-question-at-a-time interview
Agentic skills framework and software development methodology spanning planning, TDD, debugging, code review, and execution
Claude Code usage tracking and analytics tool
Status line tool for Claude Code displaying real-time usage statistics and quota information
Local control plane for routing AI coding agents across models, providers, and tools
Kanban workspace for planning, reviewing, and orchestrating parallel AI coding agent tasks
Local proxy exposing OpenAI-, Gemini-, Claude-, Codex-, and Grok-compatible APIs with OAuth and multi-account routing
Public-preview service that continuously generates linked documentation, diagrams, and Gemini-powered chat for public code repositories
Must-try features for AI coding workflows
Modular capabilities that extend Agent's functionality through filesystem-based resources containing instructions, metadata, and optional scripts, enabling domain-specific expertise and workflows
Open standard connecting AI applications to external systems like data sources, tools, and workflows
Open-format markdown file providing coding agents with project-specific instructions and context
Custom commands that create reusable workflows triggered with a `/` prefix in the chat input, stored as Markdown files in project, global, or team locations
System-level instructions for Agent that provide persistent, reusable context through Project Rules, User Rules, Team Rules, and AGENTS.md files