AI
This section covers AI engineering, model applications, and toolchains — focused on reusable practical experience rather than scattered news.
Current Notes
Section titled “Current Notes”- Engineering Closed Loop for AI-Assisted Development: The complete flow from requirements breakdown to human review and knowledge distillation
- LLM application development and Agent workflows
- Engineering patterns for Prompt, RAG, MCP, etc.
- Model API, evaluation, debugging, and cost control
- AI product prototyping and automation practices
Planned Notes
Section titled “Planned Notes”- MCP Server design and debugging
- RAG data chunking and retrieval strategies
- Version management for Prompt templates
- Logging, evaluation, and regression testing for AI applications