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.

Build the system that prompts your agents. A teaching repo for loop engineering: chapters, an annotated reading list, copy-paste prompts, a runnable example, and a portable agent skill

This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.

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

💻 vibe coding 101｜The first course for AI-native product builders.

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

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.

A practical, community-driven checklist for pentesting MCP servers. Covers traffic analysis, tool-call behavior, namespace abuse, auth flows, and remote server risks. Maintained by Appsecco and licensed for remixing.

This guide will help you set up a basic MCP (Model Context Protocol) server in .NET, configure it in VS Code, and interact with it using Copilot Chat.

45+ tips for getting the most out of Claude Code, from basics to advanced - includes a custom status line script and Claude Code running itself in a container. Also includes the dx plugin: skills for everyday dev workflows.

🏰 An exciting game of programming and Artificial Intelligence

Hands On Workshop for GitHub Agentic Workflows

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.

Learn Agentic AI using Dapr Agentic Cloud Ascent (DACA) Design Pattern and Agent-Native Cloud Technologies: OpenAI Agents SDK, Memory, MCP, A2A, Knowledge Graphs, Dapr, Rancher Desktop, and Kubernetes.