The complete visual QA platform for modern teams.
From mark to merged PR in minutes — not days. SuperDucks connects visual feedback to your codebase with AI precision, so nothing falls through the cracks.
Visual mark capture
Draw directly on any live site. SuperDucks captures the full DOM state, component tree, viewport dimensions, and user context — no screenshots, no reproduction steps.
Works on React, Vue, Svelte, Next.js, Astro, or plain HTML. One script tag.
Code-aware AI fix prompts
Within 1.8 seconds of a mark, get a suggested fix with the exact file path, line number, and code diff. Not a guess — generated from your actual component tree, git history, and codebase context.
The AI doesn’t look at a screenshot. It reads your source through source maps, understands what rendered the marked element, and produces a PR-ready diff.
Autonomous duck patrols
Hire ducks to continuously scan your environments 24/7. They file marks with full context and escalate critical issues before your users see them.
Each duck runs headless Chrome sessions against your staging URLs on configurable schedules.
Fix prompts that actually work — because we read your code, not a screenshot.
Other tools see pixels. SuperDucks sees your component tree, source files, git history, design tokens, and user context. That's why our AI produces PR-ready diffs — not vague suggestions you have to interpret.
SuperDucks maps every pixel on screen to the exact component that rendered it — including props, state, and the full parent hierarchy. Works with React, Vue, Svelte, and more.
When you mark a misaligned button, we don’t see "a button." We see `<PricingCard tier="pro"> → <CTAButton variant="accent">` at line 47 of `src/components/PricingCard.tsx`.
Source maps connect the live DOM back to your original source files. SuperDucks resolves every element to its exact file path, line number, and column — in your actual codebase.
The fix prompt doesn’t say "somewhere in your CSS." It says `padding-top: 24px → 16px` at `src/components/PricingCard.module.css:23`.
SuperDucks reads recent commits touching the affected component. If a bug appeared after a specific PR, the fix prompt references that change and suggests a revert or correction.
The AI knows that `margin-bottom` was changed from 16px to 8px in commit `a3f2b1c` by @sarah 2 hours ago — and suggests reverting that specific line.
By analyzing the component name, surrounding context, design tokens used, and prop patterns, SuperDucks infers what the developer intended — not just what’s broken.
If a card’s border-radius doesn’t match your design system’s `--radius-lg` token, the fix prompt references the token, not a magic number.
Fixes aren’t isolated. SuperDucks traces imports, shared styles, and component composition to ensure suggestions don’t break upstream or downstream consumers.
If the fix affects a shared component used in 12 places, the prompt warns you and suggests a scoped override or variant instead of a breaking change.
The mark carries the full user context: viewport size, scroll position, interaction state, route params, and local storage flags that contributed to the observed state.
The AI knows this bug only appears at 768px width with dark mode enabled — and scopes the fix to that specific responsive breakpoint and theme.
Because the fix prompt contains the exact file, line, and diff — dispatching a PR is just one click. The PR includes the suggested change, a link back to the mark with full visual context, and a comment explaining what was wrong and why this change fixes it. Review, approve, merge. Done.
End-to-end, from observation to ship.
Six steps. Zero context loss. Every mark carries its full lifecycle from capture to verification.