Systems | Development | Analytics | API | Testing

AI code generation is rapidly evolving from a novelty into a key building block of modern software development. According to the Tricentis 2025 Quality Transformation Report, 82% of software professionals are excited about AI agents handling repetitive development tasks, and 84% believe AI will help teams meet increasingly compressed deadlines. Tools like GitHub Copilot and Codex are driving this revolution, offering real-time suggestions and automating boilerplate work.

Most product teams today are very good at one thing: testing what happens when a user types a prompt. Hemraj Bedassee , Delivery Excellence Practitioner,

In today’s world of software development, API-first has become more than a trend it is a best practice that allows teams to build scalable, modular and best of all future-ready applications. In an API-first approach, the Application Programming Interface (APIs) are not an afterthought, they are envisioned, documented and agreed upon before the development of an project in begins.

The meeting started with a question I wasn't expecting. "Dragan, if AI can write tests now, what exactly will your team be doing next year?" Q1 2025, six months before I founded Quantum Quality Engineering. The executive wasn't hostile, just genuinely curious. Behind that curiosity lurked a more complex question: Do we still need QA leaders in an AI-driven world?

Testing doesn’t stop at unit tests. Once components start talking to each other, things get messy fast. That’s where integration testing comes in, to make sure your systems work well together, not just on their own. An Integration Test Plan helps you bring order to that chaos. It outlines what to test, how to test it, and how to track results across your environment.

Cyberweek 2025 demonstrated something unmistakable: the way customers shop, choose, and pay has changed permanently.