Give Your Optimizely Devs (and Agents) Visual Guardrails to Prevent Bugs. Save your spot for the Oct. 29th webinar
Give Your Optimizely Devs (and Agents) Visual Guardrails to Prevent Bugs. Save your spot for the Oct. 29th webinar
Instead of babysitting generated pull requests, wrestling with hallucinating VLMs, or debugging broken responsive layouts, Applitools feeds pixel-exact diffs and pruned DOM context to your agents so they catch, trace, and fix UI defects before you ever merge.
Stop passing raw screenshots intoVLMs that guess and hallucinate. Applitools gives your coding agents zero-variance visual validation right inside the chat.
Your agent inspects visual failures, pinpoints the CSS root cause, and applies the fix directly in code. Review diffs and approve baseline updates straight from agent chats.
Visual AI checks your UI the moment you push. A broken layout shows up in your PR, not in a bug report three sprints later.
Test in Storybook, not just staging
Run visual checks on a component the moment you build it, before it ever reaches a page someone else reviews.
Every state checked, not just the default
Visual AI checks hover, focus, and error states along with the default view, so a broken state doesn't wait for a bug report to surface.
Direct in-chat triage with Applitools MCP
Connect Applitools to Claude Code, Cursor, Copilot, Codex, and more. When UI checks fail, your agent inspects pixel-exact diff coordinates and pruned DOM shifts to pinpoint the broken source line directly in your conversation.
Conversational baseline governance
Accept, reject, or apply dynamic match regions with plain-English chat prompts. Explicit server-enforced review gates ensure production baselines update only when you give the word.
Parallel execution across the matrix
The Ultrafast Grid renders your test across browsers, devices, and screen sizes at once, instead of running your suite once per configuration.
No local infrastructure to maintain
Skip standing up and patching your own device lab or browser grid.
Skip the manual side-by-side
Applitools flags the exact element that broke instead of asking someone to scan every screenshot by hand.
Fix bugs with the DOM change in hand
Root Cause Analysis points to the exact DOM and CSS change behind a failed test, so you know if it's a real bug or an approved update before you start digging.
Feed live visual failures from Playwright, Cypress, or Selenium runs directly into Claude Code, Cursor, Copilot, or Cline via @applitools/mcp. Your agent investigates the diff, updates the component code, and requests baseline approval right in the chat.
Check every component in Storybook before it ships to a page, catching bugs at the source instead of downstream.
Render your UI across browsers and screen sizes in parallel, without standing up a local grid.
Catch layout, color, and spacing bugs a functional test can't see, without writing a new assertion for each one.
Applitools supports all of your workflows with integrations and a wide range of test frameworks, SCMs, CI/CD tools, bug tracking tools, chat tools, and more.
Trained on over 4 billion real application images, Applitools simulates human vision to ignore anti-aliasing, font smoothing, and harmless rendering noise while catching functional bugs pixel diffs miss.
Distributed via @applitools/mcp across Inspection, Resolution, and Review families, enabling AI coding agents to investigate failures, trace root causes, and govern baselines in chat.
Visual comparisons run in secure, dedicated cloud or container environments. Page snapshots, component markup, and proprietary code are never sent to external foundation models or used to train third-party LLMs.
Visual AI handles pixel calculation and DOM extraction off-agent, passing structured bounding boxes and pruned subtrees so your AI agent can reason and author code fixes without burning token budgets.
Add visual checks directly into your existing Playwright, Cypress, Selenium, WebdriverIO, Appium, or Storybook suites without adopting proprietary testing languages.
Correlates visual diffs directly to the underlying DOM mutations and CSS changes, giving you and your agents an immediate answer rather than an ambiguous failure flag.
