Field notes from 20 years of shipping production software — what AI development tools change, what they don’t, and how to build systems that hold up after the demo.
The big AI labs spent May admitting, in their own way, where the actual value in AI lives. It isn't in the models. It's in the work of fitting them inside a specific business. That work is doable at small-business scale. It just looks different.
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AI agents are the trend of the year, and most of the pitches you're hearing skip the part where automation amplifies whatever it's pointed at. If the process underneath is broken, you don't get cleanup. You get faster mess.
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AI tools have made it faster than ever to ship software. They've also made it faster than ever to ship the kind of bugs you don't catch until production. Here's what changes when there isn't experienced judgment in the chair, and how to spot the difference before you sign.
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Two things changed for me at about the same time: AI is moving fast enough that I needed a real place to keep up with it, and the productivity boost finally made the kind of side builds friends and family had been asking me about for years actually feasible. That's why this company exists.
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