How I Approach Code Reviews
A good review protects users and maintainers while preserving the author’s ownership. I review the change’s intent first, then correctness, risk, and clarity.
Understand the change
Read the issue, acceptance criteria, and test plan before line comments. Confirm the patch solves the requested problem and does not expand scope accidentally.
Review in layers
Check access and input handling, data integrity, cacheability, performance, tests, and operational behavior. Then review names and structure. Distinguish blocking defects from suggestions.
Communicate for the next change
Explain the risk behind a request and offer a concrete direction. Ask questions when context may be missing. Praise specific decisions that should become team patterns.
Review Drupal-specific correctness
In Drupal, a change can produce the right HTML and still be incomplete. I look for access checks, cache contexts and tags, configuration schema, translation behavior, entity API usage, dependency injection, and whether the change will survive configuration import and deployment. Those concerns are part of functionality, not optional cleanup.
I also look at update paths when existing sites already have data. A new field or configuration value that works on a fresh installation still needs a safe transition for environments that are being upgraded.
Let automation handle mechanical feedback
Formatting, coding standards, syntax, static checks, and repeatable tests are better handled by automation whenever possible. Human review time is more valuable when it is spent on architecture, behavior, security, maintainability, and assumptions the tools cannot evaluate.
Make severity clear
A review becomes easier to act on when the author can distinguish a correctness problem from a suggestion. Blocking comments should explain the risk or violated contract. Non-blocking ideas can be labeled as improvements rather than silently becoming new acceptance criteria.
That clarity keeps review collaborative while still allowing important issues to stop a merge.
Key Takeaways
- Review intent before implementation details.
- Label blocking issues separately from preferences.
- Explain risks and teach reusable patterns.