How to Migrate from Selenium to Playwright Without Rebuilding Your Debt
Most Selenium-to-Playwright migrations fail due to legacy patterns. Learn a POC framework, fixture setup, and testing integration that work.
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Managing Baseline Branches Using CI/CD Pipelines
TL;DR To automate Applitools baseline branch merging within CI/CD pipelines, use a Shared Library to call the Applitools Eyes Server API. This eliminates manual baseline maintenance in the Eyes Dashboard,…
Precision at Scale: Mastering Targeted UI Validation with Regions Only
The Regions Only match level solves the “noisy neighbor” problem by isolating assertions for precision at scale with no false positives.
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.
Give It To Me Cheap and Fast!—A QE Leader’s Perspective on Speed, Cost, and Quality
Eric Terry breaks down the real tradeoffs behind speed, cost, and quality—and why leading teams are making more deliberate choices.
AI Testing in Regulated Environments: Smarter Testing Starts With Stability, Not More Code
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.
Agentic Automation: Preparing QA Leaders for the Next Leap in Testing
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.
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.
Slash Test Maintenance Time by 75% with These Proven Strategies
Learn how teams are slashing test maintenance by up to 75% using self-healing automation, no-code authoring, and intelligent test grouping—plus a real-world case study from Peloton.