Where Test Automation University Goes From Here
Learn how Test Automation University is evolving and how the community will help shape what comes next.
Recent Posts
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.
The Applitools Customer Success Blueprint: Focused on Outcomes Through Strategic Partnership
Explore how Applitools approaches onboarding through structured Customer Success. By aligning on goals, defining measurable outcomes, and executing together, teams can accelerate time to value and build a foundation for long-term success.
The Agentic SDLC: Why Autonomous Testing is the New Strategic Core
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.
Engineering a Playwright-Native Developer Experience: One Flag, Three Strategies
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.
A New Chapter in Customer Success at Applitools
Applitools is expanding its approach to Customer Success to help teams achieve measurable outcomes from their testing strategy. Chief Customer Officer Kunal Rao outlines how structured onboarding, success planning, and ongoing partnership will help customers move faster with greater confidence.
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.
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.
Buyer’s Checklist for Autonomous Testing in Regulated Environments
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.
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.