this post was submitted on 16 Jun 2026
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I’m calling it now, the adoption of AI agents into software development will be one of the most costly mistakes in the field’s history. Agents cannot program, and it’s taking longer and longer to realize that they can’t. They are a highly sophisticated statistical model designed to mimic the distribution of programming. The output is broken, but in a way that’s getting harder and harder to detect. Which is exactly what you’d expect from an increasingly accurate statistical model.

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[–] megopie@beehaw.org 2 points 4 hours ago

part of the issue as well is that when they get something completely broken, people just re roll the output until they get something that’s broken in ways they don’t notice. Or re roll parts of it, or tell the system to judge if the output is broken and re roll the parts that it judges are broken automatically. Or increase the size of the context window to get it closer to that upper limit of accuracy.

All this together can get a more functional output with less effort, and as people find these tricks it gives them the illusion of an upward trend in capability, like this is all solvable issues that will improve as time goes on. Big problem with that though, theses tricks and methods explode the compute cost rapidly. That’s all fine and dandy when everyone is getting their compute costs for these tools subsidized by these model providers, but eventually they will need to charge the real cost of running this. The compute providers that host the model providers are also running at a loss, trying to help grow the market segment and maximize their market share. And then places that have the datacenters in them are giving tax breaks and discount utilities to attract new construction.

Everyone except the people making the chips is selling at a loss, and as people pile on usage to make up for the fundamental limitations of these systems, the demand balloons, validating to the providers at all levels that this is a growing market they should invest more in to.

But eventually… they need to make money. The bill comes due on all the debt and investment. What happens to the people who have fully embraced these to run their businesses? Or to all the people who have built their skill set around using these systems? It’s a crisis, a series of crisis, each time a debt wall gets hit by someone in the supply chain. A half decade of technical debt that just got really expensive to deal with, and not enough experienced people to handle it, since all the grey beared retired and not enough new people got brought in to replace them because the entry level work was automated.