I think the "junior dev" analogy is spot on - just as many junior devs are talented and productive enough to be really dangerous without some supervision to ens

I think the "junior dev" analogy is spot on - just as many junior devs are talented and productive enough to be really dangerous without some supervision to ensure that the result fits in a reasonable architecture that won't result in burnout-driven suicides for its maintainers, you have to apply the same level of senior guidance and supervision to LLM-generated code. Of course, there will be companies who'll get the one bright-eyed young person whom they can exploit the most, and get them to apply ChatGPT to build all of their systems, cheerfully reimplementing all the most popular architecture flaws and (e.g.) security issues that are seen in the many repositories of old code used in training the model.