Your Cheat Sheet for AI Engineering Interview – Questions and Answers.

Bilingual (中文+EN) ML / LLM / diffusion / agent interview cheat sheets for AI 秋招 — generated by ARIS /interview-cheatsheet, rendered by /render-html into single-file HTML, reads anywhere — plus a CV→DBLP-fact-checked academic homepage generator and hand-authored long-form blogs 🌱

Example implementation of MCP Streamable HTTP client/server in Python and TypeScript.

Open-source cookbook for the Stormy Social Data API and MCP server (Model Context Protocol) — one REST API for the TikTok API, YouTube API, Instagram API, LinkedIn API, X (Twitter) API and Reddit API. Search creators, resolve profiles, read posts and find verified emails from Claude, Cursor, Codex, ChatGPT or curl. One key, no scrapers.

Quarkus LangChain4J Workshop that demonstrates both single AI service capabilities and Agentic AI orchestration

From Java Dev to AI Engineer: Spring AI Fast Track

Learn it. Build it. Ship it for others.

All my YouTube tutorials. Everything here is free - but please follow me on YouTube if you find these helpful.

The definitive OpenAI, Claude, MCP, Harness, Evals, and Production Agent Systems learning roadmap.

A Swift reimplementation of a Claude Code-style coding agent, built stage by stage to explore what makes coding agents work

Context Engineering: Build Consistent, Accurate, Predictable AI Systems

Reverse-engineering Claude Code's 512K LOC TypeScript source: agent loop, tool system, permission model, Grove training pipeline, anti-distillation defense

This repository contains hands-on projects, code examples, and deployment workflows. Explore multi-agent systems, LangChain, LangGraph, AutoGen, CrewAI, RAG, MCP, automation with n8n, and scalable agent deployment using Docker, AWS, and BentoML.

DIO PRO Vitalício Week: Agentes de IA

100 field-tested Claude Code recipes for knowledge workers — prompts, steps, and 6 installable graded skills.

Build a Claude-Code-shaped agent harness from scratch. 7-week course, 20 chapters, ~5,000 lines of Python, 42 tests, 3 LLM providers, no frameworks.