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About This Tutorial Site ​

This site provides 19 tutorials 403 chapters covering the full learning path from web fundamentals to production AI agent deployment. Every chapter ships runnable code, 4 quiz questions, and 3 hands-on exercises.

🌐 Bilingual: every chapter is available in both English (/en/) and Simplified Chinese (/zh/). Use the language switcher in the top-right corner to toggle.

Version Baselines ​

CourseVersion Baseline
HTTP Requestsrequests 2.34 / httpx 0.28
pytestpytest 9.1
PlaywrightPlaywright 1.62 (Python)
LocustLocust 2.46
FastAPIFastAPI 0.141+
AgnoAgno 3.x
CrewAICrewAI 1.15
Agent EngineeringPromptingGuide + Harness + MCP + Skills + Loop + AGENTS.md
Claude CodeClaude Code 2.1.x
PiPi 0.84.x
Pi Agent Developmentpi-agent-core + pi-ai + pi-telemetry + pi-tui (latest main)
Flue@flue/runtime 2.0.3
Mastra@mastra/core (latest)
FirstMatefirstmate latest main (AGENTS.md + docs/)
Hands-On LLMO'Reilly "Hands-On Large Language Models" companion repo main
Vercel AI SDKai-sdk.dev v7 latest docs + Cookbook
Agent Engineering in ProductionLangGraph 1.2 + Deep Agents + AWS ECS/SQS/DynamoDB
LangGraphLangGraph 1.2 (docs verified 2026-09-17)
Deep AgentsDeep Agents 0.7.x (verified locally at 0.7.15)
🌐Web Development
HTTP Requests
→
FastAPI
→
Playwright

From networking fundamentals to full-stack APIs and E2E automation testing.

✅Test Engineering
pytest
→
Playwright
→
Locust
→
Pi Agent Development

From unit tests to E2E load testing, then a fully automated test agent — closing the quality loop.

🐍Python Agents
Agent Engineering
→
Agno
→
CrewAI
→
Claude Code

From Harness/MCP fundamentals to multi-agent frameworks and AI coding assistants.

🟦TypeScript Agents
Agent Engineering
→
Mastra
→
Flue
→
Pi Agent Development

From agent design patterns to TS framework practice with FirstMate fleet orchestration.

☁️AI Production Deployment
Agent Engineering
→
Agent Engineering in Production

From LangGraph workflows to Deep Agents approval flows, landing on AWS ECS/SQS production deployment.

🔬LLM Application Development
Vercel AI SDK
→
Agent Engineering in Production
→
Hands-On LLM

From gateway-agnostic LLM calls to production-grade agent systems, then fine-tuning and inference.