The genAI hype is crashing against reality. The profits that the use of genAI have been promised have not materialized. No near-total white-collar jobs wipe-out happened, as some doomsday fortune-teller predicted. Companies re-hire call center agents they fired a while ago. Seems that genAI chatbots wasn’t such a good bet. Codebases are more bug-ridden than ever. Using genAI trained on bananaware (the product matures at the customer’s site) wasn’t such a terrible good idea, neither. I’m still waiting for those butt-ugly genAI images disappearing from blog posts and websites, like some of the 90’ties worst style crimes on the web did.

The recurring theme of the disappearing developer … Now it’s the undergraduate students and junior devs who are getting targeted. From low-code, no-code, ADF to outsourcing, from time to time crops up some “innovative” way to replace lots if not almost all of those pesky devs that take just too much time to churn out the stuff we want from them. Didn’t work out so well each and every time. It won’t work this time either.

If I tell people that I don’t to use AI tools for coding or my site, I see incredulous looks and get remarks from which I conclude that people see me in the backwards camp. I use the following rule that has proven itself in science, when I evaluate new tools and techniques: the more outrageous the claim, the more convincing the arguments for supporting it must be. Some simple tests should prove the claim or at least make the tool or technique look very promising.