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.

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 🌱

The Developer's Guide to AI - A Field Guide for the Working Developer

From Java Dev to AI Engineer: Spring AI Fast Track

50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.

Find · Leverage · Optimize · Win — an evidence-led SEO playbook for the AI-search era. 72 docs · 42 AI prompts · 27 diagrams · 15 sourced 2026 stats. CC BY 4.0.

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

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

Context Engineering: Build Consistent, Accurate, Predictable AI Systems

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

Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1

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

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

Learn it. Build it. Ship it for others.

📚 Two books on harness engineering — the design philosophies behind Claude Code & Codex: constraints, query loops, context governance, multi-agent verification. harness-books.agentway.dev