How providing architecture context before prompting reduces AI-generated code errors

Short summary

A guide arguing that most AI coding errors in Cursor stem from missing architectural context rather than model hallucination. Recommends a three-phase approach: document the foundation (stack, schema, folder structure), build UI first, then add auth and APIs, then implement business logic. Breaking work into focused prompts reduces regressions and context loss.

• •Provide complete architecture (stack, schema, folder structure) before asking AI to generate code
• •Break development into phases: UI first, then auth/database/APIs, then business logic
• •Treat AI like a junior developer — give it requirements and a plan, not an open-ended build command

Generated with AI, which can make mistakes.