LangGraph 1.0 Tutorial

Vlad's Playbook — a 48-chapter operator field manual where every artifact is live, clickable, and forwardable. 31 interactive widgets, a self-updating AI radar, hand-verified model leaderboards, embedded case studies — and the repo runs the agent workflow the book teaches.

Learn what AI writes, not just accept it. A Claude Code skill that turns AI-generated code into educational deep dives.

A metasearch library that aggregates results from diverse web search services

Learn Anything is an AI-powered recursive learning system — Socratic deep-dives and TDD-style exercises integrated directly into your coding assistant.

Composable Agent Skills (Claude + OpenAI Codex) for taking an idea from fuzzy → validated → sequenced build → shipped — a manual tier (ideate, deep-dive, prompt-pack) and an autonomous tier (autopilot, build-loop, audit-and-fix).

Always up-to-date open-source mirror of Claude Code (currently v2.1.152). Run from source with Claude subscription/API, ChatGPT subscription (GPT-5.5 / GPT-5.4), OpenAI-compatible providers, or local Ollama. 18 deep-dive architecture articles included. For educational and reference purposes only.

Make AI coding agents architecture-aware: baseline-first, evidence-verified, drift-checked, and safe across long tasks.

Deepdive skill for Claude Code — 12-phase research pipeline: plan-review gate, parallel sub-agent search, claims-ledger triangulation with dissent protection, relevance × authority evidence filter, multi-angle red team, four-layer citation verification. 105 blocks, 29 channels, 460+ stat sources, 47 APIs, 1072 verified endpoints.

BitDive Model Context Protocol (MCP) server. The Autonomous Quality Loop for AI agents. Provides real runtime context, before/after trace comparison, and integration testing workflows.