Testing APIs and applications was challenging in the early devops days. As teams sought to advance their CI/CD pipelines and support continuous deployment, test automation platforms gained popularity, ...

From generating test cases and transforming test data to accelerating planning and improving developer communication, AI is having a profound impact on software testing. The integration of artificial ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

Most engineering teams today say they’ve adopted AI coding tools like Cursor, GitHub Copilot and Claude Code. The tools are installed, subscriptions are active, and developers are using them daily.

As AI coding tools generate billions of lines of code each month, a new bottleneck is emerging: ensuring that software works as intended. Qodo, a startup building AI agents for code review, testing, ...

The latest trends in software development from the Computer Weekly Application Developer Network. As we collectively build the new era of agentic AI automation services, we will need to constantly and ...