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I've been saying for a while now that there's an absolute gold mine waiting for people who want to specialize in fixing AI generated applications.

A lot of businesses are going to either think they can have generative AI create all of their apps with the help of a cousin of the wife of the accountant, or they unknowingly contract a 10x developer from Upwork or alike who uses generative AI to create everything. Once they realize how well that's working out, the smart ones will start from scratch, the not-so-smart will attempt to fix it.

Develop a reputation for yourself for getting companies out of that pickle, and you can probably retire early.



Maybe for a very short amount of time.

I suspect this quickly will be like specializing in the repair of cheap, Chinese made desk lamps from Walmart.

If the cheap desk lamp breaks, you don't pay someone to fix it. You buy another one and often it will be a newer , better model. That is the value proposition.

Of course, the hand crafted, high end desk lamp will be better but if you just want some light, for many use cases, the cheap option will be good enough.


Doesn't solve the problem that the budget they has in mind for the app was $300, while an experienced dev can directly see this is going to be a $20K v.1 before change requests project.


So they'll try 5 $300 fixes, and then either give up entirely, or figure out that maybe the 100 developers they ignored who told them it's gonna cost $20K were right.


And this is why people continue to do it. And at that, with such a discrepancy, why not? Proof of concept, you know if it adds value and makes money, enough money to pay $20k.


I think the missing proof point is whether companies would fork out the extra $19,700 once they understand the actual cost.


99% of them were never in the bespoke sofware market to begin with. If the $300 did not work put, they'll cobble something together in Excel pr use some SaaS that comes close enough.


>I've been saying for a while now that there's an absolute gold mine waiting for people who want to specialize in fixing AI generated applications.

The real savvy ones will use later generations of LLMs to fix the output of early ones




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