Applitools

Two teams, real results: 🔹 4 hours of manual QA ➔ 30 minutes. 🔹 250 automated tests ➔ 500 in 6 months. 🔹 2,000 hours/year of manual regression testing on pace to be automated. Faster validation means faster time-to-market and less engineering time spent fixing UI bugs after launch. See how to give your developers and AI coding agents the visual guardrails they need to catch layout regressions early. (Demonstrated in Optimizely, applicable to any modern CMS.)

Scaling your agency or internal dev team without ballooning QA costs? For one leading MarTech org and Optimizely partner, about 2,000 hours a year of manual regression testing is on pace to be automated: 🔹 Expanded automated tests from 250 to 500 in just 6 months 🔹 15 QA analysts now run validation across their entire Optimizely portfolio 🔹 Moved validation earlier in the build process instead of catching bugs after launch 🔹 Did it all with zero added headcount Join industry veterans for a tech demo! (Demonstrated in Optimizely, applicable to any modern CMS.)

"Tests passed, but the UI is broken." Sound familiar? 😅 As teams scale their CMS or use AI agents to generate code, visual bugs sneak past functional QA. Join our October 29 live demo to see how to protect your frontend across any tech stack: 🔹Let AI coding agents "see" layout diffs in chat and self-correct before opening a PR 🔹Check builds against Figma designs to catch design drift 🔹Automate visual regression checks directly in CI (Demonstrated in Optimizely, applicable to any modern CMS.)

Catch the UI anomalies that traditional functional and integration tests miss. Learn how engineering leaders like Priya Khodwe at Peloton Interactive rely on Applitools’ deterministic Visual AI to deliver flawless web applications and seamless A/B test variations. Try Applitools now and elevate your visual testing today!

The response to Tuesday's release has made one thing clear: engineering teams are tired of AI agents breaking UI code they weren't asked to touch. With median PR review times surging and production incident risks tripling across the industry, teams are realizing you can't fix an AI code generation boom with manual reviews or fragile test scripts. As an engineering leader at a major European travel platform, put it: "Applitools gives our developers greater confidence that AI-authored UI code aligns with our designs and meets our visual quality standards before reaching production." Want to see how this works under the hood? Join CTO & Co-Founder Adam Carmi on Thursday, September 24 for a live, unvarnished walkthrough. He’ll demonstrate how the Eyes MCP tools give Claude, Cursor, and Copilot visual "eyes" to catch collateral bugs, fix CSS regressions, and resolve baselines—all without leaving the IDE. Reserve your spot: https://lnkd.in/e7fC6Fxv

AI coding agents build UI features fast, but how do you know they aren't breaking something you never asked them to touch? Today, Applitools introduces deterministic visual guardrails for the Agentic SDLC—equipping tools like Claude Code, Cursor, Copilot, and Cline with Visual AI to catch, fix, and govern UI changes before they hit production. • Eyes MCP Server (17 New Tools): Your AI agent pulls pixel-accurate diffs and DOM context to inspect, review, and resolve visual regressions directly inside your chat interface—saving LLM token spend while catching collateral visual bugs and correcting code autonomously. • Zero-Plugin Figma Baselines: Drop a Figma frame URL straight into your test code to automatically match viewports and catch design drift against live UI implementations. • Intent-Based NLP for SDKs: Automate actions and assertions in Playwright using plain-English steps (eyes.run), replacing fragile DOM locators with self-healing human intent. Watch the video to see Claude Code catch an unexpected mobile layout bug, trace it to the exact source lines, and fix the CSS in real time. Validate what AI builds. Read our blog to learn more: https://lnkd.in/e6tubqKS