AI is reshaping the software development lifecycle into a connected, agent-driven system. As development accelerates, testing is evolving alongside it—becoming more integrated, continuous, and essential to maintaining quality at scale.
Applitools Eyes 10.22 brings Visual AI testing directly into Storybook and Figma—helping teams test where they build, align design and development, and release with greater speed and confidence.
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Create AccountHow do you integrate Applitools with PractiTest?
You can integrate Applitools Autonomous with PractiTest by building an event-driven serverless bridge using AWS Lambda and DynamoDB. This workflow uses PractiTest webhooks to trigger Applitools Visual AI tests, stores session IDs in DynamoDB, and automatically pushes visual validation results back to the PractiTest dashboard via REST API.
Visual testing in Playwright often forces teams to choose between strict failures, snapshot maintenance, and CI pipeline complexity. This article explores how a single configuration flag introduces three different strategies for handling visual differences and improving the Playwright developer experience.
Test Storybook components with Visual AI inside Storybook. Catch UI bugs early, bulk-maintain baselines, and scale cross-browser coverage.
Use the Applitools Eyes Figma Plugin to test and compare designs against your live app. Catch visual changes early to confirm UI accuracy.
Regulated teams face growing pressure to deliver quality at speed while maintaining strict oversight. Learn how a deterministic, Visual AI-driven approach reduces maintenance, increases reliability, and helps teams preserve audit-ready evidence.
Forrester’s Autonomous Testing Platforms Landscape (Q3 2025) identifies AI-augmented, agentic automation as the next leap in QA. Learn what it means and how to prepare.
Applitools combines proven Visual AI, intelligent test automation, and a scalable platform to help teams ship with speed and confidence. Here’s how.
Manual testing remains an integral part of software development but the increasing complexity of applications demands faster and more efficient testing methodologies. This is where Artificial Intelligence (AI) comes in,…
Eric Terry breaks down the real tradeoffs behind speed, cost, and quality—and why leading teams are making more deliberate choices.
Visual testing in Playwright often forces teams to choose between strict failures, snapshot maintenance, and CI pipeline complexity. This article explores how a single configuration flag introduces three different strategies for handling visual differences and improving the Playwright developer experience.
Generative AI excels at creating tests—but execution demands repeatability and trust. Learn why deterministic approaches matter for reliable test automation.
Regulated teams are adopting autonomous testing, but only with the right guardrails. This checklist outlines the core capabilities, governance features, and risk-based controls to look for when evaluating AI-driven testing platforms.
Applitools has been named a Strong Performer in The Forrester Wave™: Autonomous Testing Platforms, Q4 2025. The report examines how autonomous testing is evolving as AI reshapes automation, accuracy, and scale. This post highlights key themes from the evaluation and what they mean for engineering, QA, and design teams planning their testing strategy.
Applitools CEO Anand Sundaram shares why he joined the company, what inspired him about its people and technology, and how Applitools is shaping the future of AI-driven software quality.
Applitools Autonomous 2.2 introduces a smarter way to build and maintain automated tests—no code, no selectors, just natural language. With LLM test and data generation, visual comparisons across environments, and more, Autonomous 2.2 helps testers move faster with less friction and more confidence.
In two new episodes of Thoma Bravo’s Behind the Deal, Applitools leadership dives into how AI and Visual Testing are reshaping enterprise QA. Watch to learn why Applitools is scaling fast—and what it means for the future of test automation.
Regulated teams face growing pressure to deliver quality at speed while maintaining strict oversight. Learn how a deterministic, Visual AI-driven approach reduces maintenance, increases reliability, and helps teams preserve audit-ready evidence.
Forrester’s Autonomous Testing Platforms Landscape (Q3 2025) identifies AI-augmented, agentic automation as the next leap in QA. Learn what it means and how to prepare.
Testing moves fast. See how teams use code and no-code speed runs to scale coverage, reduce maintenance, and deliver faster feedback with AI.
The future of test automation isn’t about choosing code or no-code—it’s about combining both. Learn how this balanced approach reduces bottlenecks, speeds regression testing, and empowers QA teams to scale quality with confidence.
Reduce flakiness, speed up reviews, and see how teams like Peloton cut maintenance time by 78% using Visual AI.
Testing moves fast. See how teams use code and no-code speed runs to scale coverage, reduce maintenance, and deliver faster feedback with AI.
The future of test automation isn’t about choosing code or no-code—it’s about combining both. Learn how this balanced approach reduces bottlenecks, speeds regression testing, and empowers QA teams to scale quality with confidence.
Discover why the strongest test automation strategies don’t pit code against no-code. Learn how integrating both approaches reduces bottlenecks, speeds up regression testing, and empowers teams to deliver quality software faster.
