LLM-driven code generation threatens a return to “big batch testing” and massive releases because the amount of code to review is just too large for human comprehension. We’ve been there before and it’s not good.
Continuous Delivery practices helped get out of that mess, but apparently "it all changes with AI" 🧐
Who would welcome a talk / article about this?
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