What responsibilities remain with the human developer when AI writes the code?

What responsibilities remain with the human developer when AI writes the code?

The human developer remains responsible for deciding whether generated code solves the intended problem and can be maintained safely. AI can draft an implementation, suggest tests, and explain changes, but it does not automatically know the product's priorities or the consequences of a mistake.

Own the product and technical decisions

Developers translate user needs into clear requirements and resolve tradeoffs. For a wedding-management application, they decide which roles may modify events, what invitation data should be stored, and which features belong in the first release.

They also evaluate architectural choices against the real project. A suggested dependency, service, or schema change should have a reason grounded in the application rather than the assistant's familiarity with a pattern.

Verify the implementation and its evidence

Review the complete diff, including configuration and generated tests. Check that data access enforces ownership on the server and that sensitive information is handled appropriately. Run relevant checks and exercise important journeys in the browser.

If an assistant reports success, examine what it actually verified. A passing unit test may cover a helper function while leaving the login flow, API integration, or mobile interface untested. Ask for commands, results, and unverified assumptions where those details matter.

Maintain the application after delivery

Developers decide when a change is ready to merge and release. They also own monitoring, issue triage, documentation, dependency upkeep, and rollback decisions.

Use the assistant to accelerate these activities while retaining enough understanding to explain the code and respond when it fails. Responsible delegation means assigning bounded work and evaluating the outcome, not treating generated output as an independent approval of itself.