recipes, from time-consuming experience

errors:

• prompting too simple: the AI doesn't respect any rule and can change things you don't want at first (like variable names)
• not using multi-AI loost the comparison and compensation (like orthographic errors, what is generated different is what to look)
• an easy before/after comparison test is usefull, better when they can auto-check themself, simpler if they write auto-test
• not adding safe exit to llm , "do you think it's possible ? is there enough information to", may reduce hallucinations
• accepting torents of lines of code... as AI can bloat you also on this

total time saver:

• asking AI to not disrupt existing code: "can you help rework it so it can do current feature and new one ?"

next level things:

• GitHub Copilot for Skeptics Who Still Think AI is Overrated: explains some AI beginner errors