AI-assisted workflows work best when they are paired with clear engineering standards. The tool can accelerate exploration, but the team still owns architecture, review, and product judgment.

Useful adoption starts with bounded tasks: generating test cases, explaining unfamiliar code, drafting migrations, and checking edge cases.

Teams get the most value when AI becomes part of an existing review culture instead of replacing the thinking that keeps software reliable.