🔧 Practice Patterns / Coding with AI Hub¶
LLM usage organized into reusable chapters. Starting with outlines and card navigation, expanding incrementally.
📚 Chapters¶
- Prompt Design Structured templates and anti-patterns for reproducibility and controllability.
- Test Automation Extend quality coverage via spec-to-test, regression summaries, and property extraction.
- Refactoring Assistance Phased model: smell scan → design agreement → fine-grained application → comprehensive verification.
- Performance Optimization Trade-off control and measurement across latency, cost, quality, and safety.
- Debugging / Diagnostics Observability stack and classification to improve failure reproducibility.
🔑 Key Guides¶
- LLM programming in practice: ../llm-programming-guide.md
- AI coding tools hands-on: ../ai-coding-tools-practical-implementation-2025.md
- Development tools comparison: ../ai-development-tools.md
🧪 Future Expansions¶
| Item | Status | Plan |
|---|---|---|
| Evaluation workflow standard | draft | Macro-ize metrics |
| Prompt pattern examples | skeleton | 10 → 30 examples |
| Automated testing GitHub Actions | pending | Add sample workflow |
🧩 Related¶
- Culture / Methodology: ../methodology/index.md
- Agent Development: ../agentic/index.md