If you’ve ever interacted with a standard chatbot, you know they are great at answering questions but rarely “do” anything on their own. In the tech world, we are undergoing a major transition: we are moving from the era of AI that just talks to the era of AI Agents. But what does this change

Artificial intelligence is redefining how we test software. Development teams are discovering that AI is not just a generative tool: 39% of testers report improvements in test automation efficiency when using AI (Testlio, 2025). At the same time, 67% of professionals would trust AI-generated tests, but only with human review. This data shows something important:

In recent years, automation powered by artificial intelligence has made inroads into nearly every sector, including the world of software quality. Tools capable of automatically generating and executing tests, translating requirements into test scenarios, and delivering detailed diagnostics have boosted the efficiency of IT and QA teams. With such advances, a common question arises: are

This Tuesday, November 18, significant parts of the web went offline due to technical issues at Cloudflare. Popular platforms like X (old Twitter), OpenAI, and even online games were affected by sporadic interruptions that began around 6 a.m. (BRT). Users attempting to access websites saw error messages indicating problems with the Cloudflare infrastructure. The irony

Is your development cycle slow and are you looking for ways to gain time? The truth is, the biggest bottleneck isn’t in writing the code, but often in the Quality Assurance (QA) process. API tests are the heart of your application, but APIs change all the time. Keeping your tests aligned with these evolutions kills