LLM-driven code generation threatens a return to ābig batch testingā and massive releases because the amount of code to review is just too large for human comprehension. Weāve been there before and itās not good.
Continuous Delivery practices helped get out of that mess, but apparently "it all changes with AI" š§
Who would welcome a talk / article about this?
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