this post was submitted on 01 May 2026
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I know of some companies where they write up a full spec in markup, and have the ai code from that. They claim it works well, but that seems like extra work.
Personally, most of my coding is maintenance and AI sucks at that. I can get the ai to give me good recommendation, but not usable code. I have had it do a good job writing utility scripts such as data extraction, and tests - it can even save me time
So if you have a greenfield project, and are able to give it sufficient context, people claim it can work …… I’m highly doubtful it’s maintainable though, and maintenance cost is far higher than the cost of initial creation. I really think these companies are digging a hole for themselves
Of course I’m taking advantage of this
I wonder if someone will make bank by playing around with AI coding enough to understand what errors AI is most likely to make and then just market your services and contract out for emergency AI fixes. Tons of stress and would have to manage your own benefits, but I imagine oodles of money.
My company is working on one such product. So far AI has essentially no guardrails so can too easily go from potentially helpful to harmful. There’s nothing keeping it from sharing confidential data, like customer data, nothing looking at whatever dreck it’s pulling in from the internet, and nothing keeping it from doing harm internally. We can do that.
But most of the more immediate harm is poor practices that we’ve known for decades. Maybe consultants can make bank by pushing best practices we should have followed all along. That article that keeps coming around Lemmy about losing their production database and backup in 9 seconds is a great example. Sure, that LLM needed guardrails to stop that, but any normal best practices would also have prevented that
I’ve seen some baby steps