Technical Leaders

Generative AI excels at creating tests—but execution demands repeatability and trust. Learn why deterministic approaches matter for reliable test automation.

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 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.

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.

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 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.

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.

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.

The Model Context Protocol (MCP) is gaining traction as a smarter way to connect AI with testing tools. Here’s what QA teams need to know—and how Applitools is putting it into practice.

Not all AI testing is the same. This post breaks down the differences between assisted, augmented, and autonomous models—so you can scale automation with the right tools, at the right time.

Hybrid test automation—combining coded and no-code tools—is helping teams reduce maintenance, accelerate releases, and scale quality across skill levels. Learn how a balanced strategy leads to faster innovation, stronger collaboration, and smarter resource use.