File Upload Testing Without the Broken Dependencies or Manual Workarounds
Learn how Autonomous eliminates local path dependencies and validates post-upload UI state with cloud-managed file upload test automation.
Test Automation
Add Visual Testing to Your AI Workflow with the Applitools MCP Server
The Applitools Eyes MCP server connects your AI assistant to visual testing. Set up Eyes, add visual checkpoints, and catch regressions before they merge.
New Features to Scale Reliability in the Agentic SDLC
The Agentic SDLC shifts the bottleneck from code production to verification. Learn how Applitools provides a deterministic quality gate with Eyes MCP and Autonomous Troubleshooting to fix the “flakiness loop” and reduce test maintenance costs.
Bridge the Visual Gap: How to Integrate Applitools Autonomous with PractiTest
How 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.
Where Test Automation University Goes From Here
Learn how Test Automation University is evolving and how the community will help shape what comes next.
What Test Execution Demands That Generative AI Can’t Guarantee
Generative AI excels at creating tests—but execution demands repeatability and trust. Learn why deterministic approaches matter for reliable test automation.
AI Testing in 2026: Why Signal, Trust, and Intentional Choices Matter More Than Ever
AI is reshaping software testing—but more AI often means more noise. Learn how engineering leaders can build trust, reduce flakiness, and scale test automation.
Applitools Named a Strong Performer in The Forrester Wave™: Autonomous Testing Platforms Report, Q4 2025
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.
Accelerate Test Creation and Coverage with Code and No-Code Speed Runs
Testing moves fast. See how teams use code and no-code speed runs to scale coverage, reduce maintenance, and deliver faster feedback with AI.
Why the Future of Test Automation is Code AND No-Code
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.
How Modern Testing Tools Use AI to Bridge Teams and Simplify QA
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.
AI Test Automation Platform for Developers: Why Applitools Won in 2025
Applitools was named 2025 AI Test Automation Platform of the Year—not for hype, but for helping developers scale testing with Visual AI and real engineering speed.