Systems | Development | Analytics | API | Testing

The real obstacle to AI revolutionizing development? Us. Are we bold enough to rebuild processes and make AI a true collaborator? Can we ditch the fantasy of "one tool to rule them all" and embrace smarter, leaner AI teamwork? The future of testing—and AI—demands a total shift in mindset. Are you ready to rewrite the rules? Catch the latest episode of Test Case Scenario to see what’s next.

Experience the power of AI like never before! In this demo, we showcase Custom GPTs and how they seamlessly integrate with Git Ingest to enhance workflows, automate tasks, and streamline development. What You’ll Learn: How to create and customize a GPT for specific use cases Using Git Ingest to process repositories efficiently Real-world applications and automation examples Whether you're a developer, AI enthusiast, or just curious about next-gen AI tools, this demo will give you a hands-on look at what's possible!

With resource constraints, QA team usually has to juggle between regression testing and new feature testing. ""Don't think about regression test automation as something separate,"" said Alex Martins. He believes that it should be a combination of both. Check out Alex's way of maintaining that testing equilibrium below. Don't forget to follow Katalon for more insights in our series!

There are many factors going into the final decision of choosing a test automation tool for your team. Parker Reguero, ex-OpenText, MicroFocus, and SAP, with 6+ years in the testing industry, thinks that three most important factors are: Technology People Scalability Find this insightful? Follow Katalon and stay tuned for upcoming episodes in our series!

Katalon's latest product round-up webinar is here, and we’re pulling back the curtain on powerful new features designed to make QA's life easier with.

Perfecto’s AI Validation transforms the way teams approach testing by intelligently analyzing test scenarios, visually validating applications, and adapting to changes—all without manual intervention. Enable your team to contribute to testing with simple, plain-language scripts, validate functional, visual, and contextual elements to ensure improved coverage across all application layers, automate script creation and updates to eliminate repetitive tasks, and increase efficiency, reduce manual effort, and deliver tangible value with advanced AI-driven solutions that optimize testing processes.

Perfecto’s AI Validation transforms the way teams approach testing by intelligently analyzing test scenarios, visually validating applications, and adapting to changes—all without manual intervention.

Learn more and see an example use case here.

AI is so much more than that—it spans numerous fields, from machine learning to predictive analytics, computer vision, natural language processing, and beyond. Are we narrowing the conversation too much? Check out the full episode for more insights.

AI tools promise to revolutionize everything, but are they making us smarter or lazier? Here are the questions I still have about the real impact of AI in development. Are teams using AI to augment their work or replace themselves entirely? Process and social change are a no-brainer, but are we keeping up? Are we adapting or coasting? And the big question: As AI gets smarter, are we dumbing ourselves down, losing our grip on what it means to understand?