Stop treating LLMs like search engines

Short summary

Developers misuse LLMs as search engines, getting generic boilerplate that fails on edge cases. The fix is Constraint First Prompting: define environment and constraints before requesting logic, ask for pseudocode outlines before implementation, and review each step. A rule requiring you to explain every AI-generated line before committing helps maintain debugging ability.

• •LLMs are pattern matchers, not databases — vague prompts produce generic, buggy code
• •Constraint First Prompting: define versions, existing utilities, and architecture before requesting code
• •Request pseudocode outlines first, review logic, then generate implementation to reduce debugging time

Generated with AI, which can make mistakes.