Systems | Development | Analytics | API | Testing

AI is being treated as a shortcut for quality. Is that a dangerous gamble? There are a few industry-wide experiments happening right now: Developers are being pushed to own quality, but without dedicated testers, gaps are forming. AI is being used as a crutch for testing, but can it actually replace critical thinking? The real risk? We won’t know how badly this approach fails until it’s too late.

To use or to not use open-source automation tools? That is the question we asked Gokul Sridharan, DevOps and Testing evangelist with 14+ YOE. “It’s subjective”, said Gokul, “there are three core reasons why people get into automation in the first place”. He emphasized the power of automation, and how embracing automation tools can unlock higher scalability. Stay tuned for more interesting insights in our#AutomationDecoded series!

According to Cristiano Caetano, VP of Product Management at Katalon, human intuition is irreplaceable in this field. It is better to leverage AI for repetitive and labor-intensive tasks while using the freed up bandwidth to focus on strategy - things machines can't replicate. Stay tuned for upcoming episodes in our series!

That’s where feature flags come in. They let you: Ship small, continuous changes without fear. Give different teams control over what and when features are released. Roll out to preview users before full deployment. It’s all about having control over production - without sacrificing speed. Watch the full QA Therapy episode to learn more!

AI isn’t a shortcut to perfect testing. It won’t magically fix your processes or write flawless code. But if used right, it will push testers and developers to think more critically. Instead of asking if AI should be part of testing, the real question is how to make it a true collaborator. That means: Using AI to highlight gaps, not blindly trusting its output Treating it as a thought partner, not an automation machine.