Practical perspectives from someone who has been doing this for 16 years.
High test coverage feels safe. But teams with 90 percent coverage still ship critical production bugs. The problem is not how much you test. It is what you choose to test. Here is how risk-based testing changes that.
Everyone assumes AI-generated code makes testing easier. Teams adopting AI coding tools are finding the opposite. Here is what is actually happening and what QA teams need to do about it.
Shift-left testing is one of the most cited principles in modern software delivery. In FinTech it is also one of the most inconsistently applied. Here is what it actually looks like when it works.
Most CTOs have a rough sense of how good their testing is. Almost none of them have actually measured it. The gap between those two things is usually significant.
Testing a system that contains AI requires a completely different set of techniques to testing the AI model itself. Most teams are only doing one of the two.
Most automation problems are not tool problems. They are design problems that were ignored when there was still time to fix them cheaply.
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