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,

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Software Development is progressing faster than ever, as software teams are now able to regularly release new features in cycles that often last a week to a day. As a result of this cycle, bug tracking and QA processes are sometimes not enough to prevent there from being bugs in place before a problem arises. When these bugs enter production, they cause a lot of frustration among users, downtime, and a large amount of time being spent trying to fix the problem which makes users angry.

In an era where digital transformation is rapidly changing how governments and public sector organizations deliver services, quality, security, and agility are paramount. That is why the partnership between Katalon and Carahsoft stands out as a strategic collaboration designed to bring modern and robust software testing capabilities to government and public sector agencies.

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?