Sign in
Start for free
Learn
Featured
Visual QA
Primer · 8 min read
A repeatable visual validation process produces consistent results regardless of who runs it or when. Building one requires a shared design reference, a systematic comparison method, and clear criteria for what requires a fix.
Read article
Design handoff
When a developer's implementation does not reflect the design, the designer is typically the one who notices first. What they do next determines whether the issue gets fixed efficiently or becomes a prolonged back-and-forth.
Frontend implementations drift from Figma designs for predictable, structural reasons involving translation steps, competing developer priorities, stale references, and inconsistent manual review.
Design-to-code
Design drift is what happens when a frontend implementation diverges from its original design over time. AI-assisted development does not eliminate drift, but it changes where drift comes from and how quickly it accumulates.
Design fidelity
Pixel-perfect and design intent are two different standards for visual quality in web development, and the distinction changes what gets flagged, what gets fixed, and what gets accepted.
Using Figma as a benchmark means treating the design file as the standard against which the rendered implementation is measured, not just a source of values to consult during development.
The frontend workflow that makes the most of AI generation has three stages: design in Figma, generate an implementation, then verify the rendered output against the design before shipping.
Free to start. No credit card. See your first comparison in under a minute.
