There are many cases where AI models that worked fine in development start to behave badly in production. In this article, Kanika Vatsyayan discusses the causes that lead to this situation. He recommends moving from static assessments to continuous quality engineering for AI models. share share share share
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Rethinking Software Quality: a New Approach to Testing API
October 9, 2026
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This session, “Rethinking Software Quality: Why API Testing Needs to Change,” unpacks the challenges of testing API-driven ecosystems, the limitations of conventional QA, and the new pressures created by AI and evolving digital platforms.
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Why Pull Requests Should Review Tests, Not Just Code
October 12, 2026
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When you add new code to your applications, it is associated to the test scripts that should validate it. Do you give enough importance to these tests? In this article, Eli Lopian explains that when pull requests are opened, you should review the tests scripts as much as the code.
