Questions
- What is vibe coding, and how does it change the traditional approach to writing and maintaining code?
- What key differences exist between traditional low-code platforms and LLM-based development approaches?
- How do independent research findings on productivity gains from AI coding assistants differ from vendor claims, and what factors might explain this discrepancy?
- What specific benchmark metrics show that LLMs struggle more with class-level code generation compared to function-level tasks, and why is this distinction important for practical implementations?
- Describe the validation framework presented in the chapter for LLM-generated code. What are the six key areas of assessment, and why is each important for production systems?
- Using the repository RAG example from the chapter, explain how you would modify the implementation to better handle large codebases with thousands of files.
- What patterns emerged in the dataset analysis examples that demonstrate...