Getting Started with AI
For developers who can code but have not yet mapped the AI toolchain as a system.
Path
From Tools to Systems
Getting Started with AI
Models, tokens, Codex, local setup, CC-Switch, Skills, and daily tools.
Core AI Capabilities
RAG, document parsing, OCR, knowledge graphs, retrieval, chunking, and quality checks.
AI Engineering
Agent workflows, model serving, evaluation, observability, context engineering, and reliability.
Reading
Reading Path
01
Core AI Capabilities
For readers who want to understand RAG, document parsing, knowledge graphs, and retrieval quality.
AI Engineering
For builders who want to turn AI capabilities into stable products or internal systems.
- Why AI applications need evaluation
- Agent workflows are not just tool calls
- What trace tools such as Langfuse actually solve
- Context engineering is not stuffing every document into the prompt
- Cost, latency, and reliability tradeoffs in model services
Published
Published AI Posts
How Agents Defend Against Prompt Injection: Security Engineering from Text Isolation to Tool Permissions
Why prompt injection is dangerous for agents, and how to build defenses with untrusted content isolation, least privi...
Agent Harness Engine: Turning LLM Agents from Prompt Toys into Engineering Systems
An engineering view of Agent Harness Engine and why agents are runtime systems built from context, tools, permissions...
Getting Started with CC Switch: Installation on Windows, macOS, and Linux
A first-time developer guide covering download, installation, first launch checks, and safety notes.
Getting Started with Skills.sh: Downloading and Installing Skills for Codex
A first-time guide to installing Node.js, searching skills, downloading them into a Codex project, and validating ins...
Getting Started with Codex: Installation on Windows, macOS, Linux, and WSL2
A system-by-system guide for first-time Codex users covering install entry points, commands, verification, and common...
RAG Document Parsing Pipeline: How Parsing Quality Shapes Retrieval Quality
Notes on document parsing, structure preservation, chunk validation, and open-source reproduction before RAG ingestion.
Blog Refactor Roadmap: From Using AI to Reliable Systems
How this blog will grow around AI onboarding, core capabilities, AI engineering, and backend systems without becoming...
Common Mistakes for the Level 4 AI Trainer Exam
Introductory exam notes for China's AI trainer certification.