When the entry barrier is lowered to try and create new things, there will be an explosion of people attempting to create a lot of new low effort poor quality outputs which I discussed about in my previous writings as Inverse vandalism. Gen AI arrived and pushed the outputs to slop territory. Every new tech is useful and makes lives easy, but channeling the effort to not product sloppy work is the key.

How do we know that we are not producing sloppy work? My idea is to stay away from people who knows exactly what needs to be done. Collective intelligence and learning has always been superior than individual learning and intelligence. Many people are of the opinion that with the new age AI, tools they can reduce the dependence on humans (statements like we do not need programmers, AI will write everything), while they are just moving the workload from a deterministic abstraction to a non deterministic abstraction (at least for a few years). This means your plain english is a program, that will require linting to remove sarcasm, language analysis to remove ambiguity, differentiate between idiomatic expression and literal expression. I have just started, the list will go on because you have to bring everything else that applied to programming here.

It is collaboration, not blind automation; that will transform how we work with the latest AI tools. Treating these tools solely as automation risks producing sloppy, unreliable results.