Three approaches to customizing AI — when each works, the cost and complexity tradeoffs, and which to try first.
"Help me choose between prompt engineering, RAG, and fine-tuning for this use case.
Problem: [describe it]
Knowledge base size: [small, medium, large]
How often it changes: [frequency]
Query volume: [approximate]
Budget and complexity tolerance: [describe]
Recommend the simplest approach that is likely to work, explain why, and tell me what evidence would justify moving to the next level."Prompt FAQ
Three approaches to customizing AI — when each works, the cost and complexity tradeoffs, and which to try first. Use it when you need a safer starting point than a blank prompt and you want the agent to stay inside explicit constraints.
No. Treat it as a safe starter. Replace the task, files, constraints, and verification details with your actual context before you run it.
Read the diff, run the checks, and stop after one reviewable step. If you need deeper context, open the lesson that explains the reasoning behind the prompt.
Learn why small, focused prompts produce better code than trying to build everything at once.
Open prompt pageUse chain-of-thought prompting to get AI to reason through complex coding problems.
Open prompt pageUse examples to teach AI your patterns, styles, and conventions before it writes new code.
Open prompt page