How does AI Coding ensure code quality? From code generation to verification engineering

Core Issues

How to determine whether the code that the Agent claims is “completed” is actually correct, does not cross boundaries, and can be delivered safely?

Article structure

1. Code generation does not mean task completion
2. Static checking, unit testing and end-to-end verification
3. Modification scope, regression risk and manual review
4. Require Agent to provide auditable verification evidence
5. Design quality access control based on task risks

Completion criteria

Readers can design a layered verification strategy for an AI Coding task and accept the results based on evidence rather than the Agent’s statements.