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TestBooster.ai broadens AI perspectives during visit to Germany
News

TestBooster.ai broadens AI perspectives during visit to Germany

In September, the TestBooster.ai team traveled to Germany as part of a technology mission designed to connect with one of Europe’s most advanced ecosystems of innovation. The agenda included visits to global corporations, government institutions, and startup communities across Frankfurt and Stuttgart. The goal was to gain insights into how technology is shaping industries, strengthen

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TestBooster at the Midsize Enterprise Summit Fall 2025
News

TestBooster at the Midsize Enterprise Summit Fall 2025

This month, our CEO, Juliano Haus, joined the Midsize Enterprise Summit Fall in the United States, in the state of Texas. This event is known for connecting tech providers with IT leaders from midmarket companies. It was a unique opportunity to showcase TestBooster.ai, exchange knowledge with executives from different industries, and explore how innovation in

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The side effect of test framework diversity
Planning

The side effect of test framework diversity

In the last few years, frameworks like Selenium, Cypress, and Playwright have become indispensable for test automation. Each has its strengths and audience, which naturally led many companies to use multiple tools at the same time. At first, this diversity seems strategic. Over time, though, it creates a side effect: scattered tests, fragmented reports, and

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Types of software testing: specific testing vs goal-focused testing
Innovation

Types of software testing: specific testing vs goal-focused testing

When it comes to software quality, not all tests are created equal. Teams often debate between testing individual features and testing broader business objectives. Both have their place, yet the approach you choose can determine whether your system simply looks functional or actually delivers what your users need. What specific testing means? This type of

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Why AI Agents need memory to perform complex tasks
Artificial Intelligence

Why AI Agents need memory to perform complex tasks

Memory changes how intelligent systems behave. Without it, agents reset with every interaction as though nothing has happened before. AI with memory can retain context, learn patterns, and adapt based on previous interactions. That’s key to real progress, especially when agents need to act reliably over time. Platforms like TestBooster.ai showcase how using AI in

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