design-review

You can detect visual inconsistencies by running a design QA process that iterates over design components and compares visual differences before and after corrections. This identifies layout, alignment, and spacing issues using browser debugging tools before code merges into the main branch.

Fix spacing and hierarchy problems by pinpointing text spacing, margin width, and component alignment errors during a visual QA audit. The process atomically applies iterative fixes to the interface, keeping your version history clean and verifiable.

Yes, you can review visual fixes for a specific Git branch by passing the branch name to the design review command. It also supports a plan-mode review to evaluate design components and visual consistency before implementation begins.

Address AI slop patterns and interaction slowdowns by running a visual quality assurance check that identifies inconsistencies in AI-generated design elements and responsiveness. This ensures visual consistency and user experience quality before release.

Visual quality assurance typically operates using browser debugging tools to compare visual differences before and after corrections. This approach allows you to accurately detect and address layout and element inconsistencies within your web design.