Stop Being an AI Babysitter: How to Use LLMs Without Losing Code Ownership
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Developers who blindly accept AI-generated code without understanding it are accumulating technical debt and losing code ownership. Using a pricing calculator example in Java, the post contrasts three approaches: the junior who accepts AI output verbatim, the mid-level dev who over-engineers with unnecessary patterns, and the architect who directs the AI with precise, incremental prompts. The architect approach involves defining contracts first, requesting isolated pure functions, and writing orchestrators with edge cases in mind. Practical steps include creating an AGENTS.md file with architectural guardrails, defining acceptance criteria before prompting, providing full context, and using Plan Mode to review execution plans before any code is written.
Table of contents
The Ownership Lies We Tell OurselvesPhase 1: The “Just Accept It” Junior ApproachPhase 2: The Over-Engineered Mid-Level TrapThe Director Mindset: How to Actually Use AIThe Psychology: Why We BabysitOn “But AI Models Keep Getting Better”Four Steps to Stop Babysitting and Start Directing52.9K Impressions4 Comments