Testing places unique demands on AI. Errors carry real business risk, and fragile tests or slow updates can quickly erode trust in results. As a result, while momentum around AI in testing is strong, ...

Test automation has been pivotal in accelerating software releases, but it came with a high learning curve that limited its reach. No-code testing platforms helped ease that by enabling teams to ...

Combine AI-generated tests with intelligent test selection to manage large regression suites and speed up feedback ...

When evaluating AI for testing, prioritize approaches that keep teams in control and maintain end-to-end testing connectivity ...

With more than 20% of organizations deploying updates multiple times per day, according to my company's study, the complexity of test authoring has grown significantly. Test authoring is the process ...

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 ...

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, ...

With the endless AI buzz dominating every technology headline and press release, it’s easy to forget the origins of “computer intelligence”; namely the likes of expert systems, macros and the “A” word ...