AI

One dev, one CLI, 24 subdomains, and a lot of parallel agents. The playbook for shipping an AI app portfolio.

CLAUDE.md is the highest-leverage file in any Claude Code project. Here's what goes in one, what doesn't, and the patterns that actually ship.

Skills are how you stop copy-pasting the same workflow into Claude Code every session. What they are, how to write one, and where to find hundreds ready to use. Fact-checked against Anthropic's docs.

Claude Code is Anthropic's AI coding agent for your terminal. What it does, how it works, how it compares to Cursor and Codex, and how to ship your first feature with it. Fact-checked against official docs.

MCP isn't just a plugin format - it's a full JSON-RPC protocol for connecting LLMs to tools, resources, and prompts. Here's how it works under the hood, sourced from the official spec.

AI coding platform built for large, complex codebases. Context Engine indexes 500K+ files across repos with 100ms retrieval. Intent desktop app orchestrates parallel agents.

OpenAI's open-source terminal coding agent built in Rust. Runs locally, reads your repo, edits files, and executes commands. Powered by o3 and o4-mini models.

Open-source terminal coding agent from Moonshot AI. Powered by Kimi K2.5 (1T params, 32B active). 256K context window. Agent Swarm runs up to 100 parallel sub-agents.

Factory AI's terminal coding agent. Runs Anthropic and OpenAI models in one subscription. Handles full tasks end-to-end - refactors, incident response, migrations.

Open-source autonomous coding agent inside VS Code. Creates files, runs commands, and can use a browser for UI testing and debugging with your permission.

Multi-agent orchestration framework built on the OpenAI Agents SDK. Define agent roles, typed tools, and directional communication flows. Production-focused, open-source.

Type-safe Python agent framework from the Pydantic team. Brings the FastAPI feeling to AI development. Composable tools, durable execution, and full IDE autocomplete.

Structured data extraction from any LLM using Pydantic models. Automatic retries, validation, and streaming. 3M+ monthly downloads. Available in Python, TypeScript, Go, Ruby, and Rust.

Constrained generation library for LLMs. Uses finite state machines to mask invalid tokens during generation. Guarantees schema-compliant output with zero retries.

Open-source AI orchestration framework by deepset. Modular pipelines for RAG, agents, semantic search, and multimodal apps. Pipeline-as-graph architecture with explicit control.

Keyboard-first Mac launcher with built-in AI. 32+ models, 1,500+ extensions, clipboard history, window management, snippets. Replaced 4 apps in my workflow. Free tier available.

AI-powered terminal built in Rust with GPU rendering. Block-based output, natural language commands, Agent Mode for autonomous tasks. 700K+ developers. Free tier available.

AI-powered terminal assistant from AWS. Natural language chat, command autocompletion, code generation. Agentic mode reads files, runs commands, and calls AWS APIs. Free tier.

AI-powered context manager that remembers your code, snippets, links, and project context across IDEs, browsers, and terminals. Local-first with 9 months of memory. Free.

Install Ollama and LM Studio, pull your first model, and run AI locally for coding, chat, and automation - with zero cloud dependency.