AI coding tools are fast. They’re also confidently wrong on a regular basis. The teams getting the most out of them treat AI the same way they’d treat a talented junior developer.

Give it a clear, scoped task. “Write a function that validates email format” works great. “Design the authentication system” is a disaster waiting to happen. Junior devs thrive with clear requirements. So does AI.

Review everything it produces. Every line. A junior dev might write code that works but misses edge cases or ignores your conventions. AI does the same thing. It doesn’t know your codebase. It doesn’t understand your business rules. It’s pattern matching, not thinking.

Never let it make architecture decisions. It will happily suggest microservices for your three-person team or add a dependency you don’t need. It goes for looking helpful over code you can maintain.

Where it shines is the boring stuff. Boilerplate, test scaffolding, documentation, repetitive CRUD endpoints. The work that slows your senior engineers down but doesn’t require judgment.

The engineers who resist AI entirely are leaving value on the table. The ones who trust it blindly are building a mess. Somewhere in between is a junior dev that never sleeps, types fast, and is a great pair programmer.