How do you use AI coding assistants effectively without lowering code quality?

Summary

Give them the right context (project instructions, example files, constraints), ask for small steps with a plan first, define done with tests, and review everything they produce as carefully as a colleague's code: run it, read every line, test edge cases, check dependencies and security.

Longer Answer

The productivity gain comes from the assistant doing the typing and boilerplate while you keep ownership of design, correctness and review. Teams that treat "generated by AI" as a reason to review less see more incidents; teams that pair assistants with tests-first workflows and small PRs see faster delivery without quality loss.

Key Points

• Context in, quality out.
• Plan first, small steps.
• Tests define done.
• Review like a colleague's code.

Deep dive: Coding with AI Assistants

What interviewers look for

A concrete workflow, not enthusiasm or blanket rejection.

Follow-up questions

• Tell me about a time an assistant got something wrong. How did you catch it?