Product review vs code review
Coverage by layer#
| Check | Code review tools | Prelint |
|---|---|---|
| Code style and formatting | Yes | No |
| Bug detection | Yes | No |
| Security scanning | Yes | No |
| Type safety and test coverage | Yes | No |
| Product alignment | No | Yes |
| Spec compliance | No | Yes |
| Business logic correctness | No | Yes |
| Scope drift | No | Yes |
Running both gives full coverage on every pull request. Greptile reviews your code, Prelint reviews your product, and together they let AI agents iterate longer without human intervention.
Why this is not a feature of your code reviewer#
A code reviewer reasons about the diff and the codebase. A product reviewer reasons about the diff against decisions that live outside the codebase — pricing models, compliance constraints, roadmap scope, approved vendors. Different context, different failure mode, different filtering rules for what counts as a finding.
Prelint's validation pass explicitly discards findings that fall into linter territory, which keeps the two layers from duplicating each other on the same pull request.
What non-engineers get from it#
Stakeholders ask why something works the way it does and get grounded answers from your specs, without pulling an engineer out of flow. Product questions stop blocking engineering, and the answers cite the spec rather than someone's memory of a meeting.
Related#
- Product drift — the six categories product review covers
- Working with AI coding agents
- FAQ