One of the best immediately current outcomes of “supercharged” AI coding is not its support of enterprise operations, which despite turning out large proportions of new code remains questionable. Of possibly superior interest is the production-ready code it can turn out at the end-user level — that is, usable, reliable code, generated quickly and repeatably.

The recent progress of coding AI tools is not just in the models, and not just in the integrations into IDEs and other strict coding tools, but the AI-centric coding environments like Google’s AI workspace, like Bolt, and others. The reliability of these tools, in general, means that, at least as far as concerns smaller, lightweight apps, the fear of hallucinated bugs and inconsistent coding paradigms and packages is greatly reduced. For the enterprise, this is handy, any may increase speed. For the individual, this is transformative. It takes the toil out of development.

A simple example would be if I need a new organization system for my digital notes. I don’t like any of the options. Too many of them either don’t provide enough features, or have too many features. Many try to up-sell on higher subscription plans. Updates to layout and UI keep messing up my experience.

Well, I can build a new app for myself, one that is custom for my needs. I could always have done this, but sinking in hours of effort to conceive of the proper set of technologies to implement my feature set and build a working prototype, then debug it, then iterate on it until it’s feasible, would represent an indulgence that I might forgo, and decide to live with my current ineffective notes solution, or try alternative after alternative, and never be fully satisfied. But I don’t want to be dissatisfied, and the recent batch of AI coding tools has moved the line, making the return on investment much less questionable, and much easier to accept.

In hours (if that), even with little coding experience, from a simple prompt, I can build that app — and make it functional, really functional, not just a prototype. I can run it on a VPS for $5/month or on a little home server for less. Immediately I am the master of my notes and I cut out most of the service layer,

This is amazing, in my mind, and a representative of the real, down-to-earth benefits of AI for home use — build what you want, when you want it, and have it work. No muss, no fuss, no fear, very little overhead.

Many AI code tools can run locally, too, on a decent machine, so with a decent model you won’t need outside support for that, either. Of course it’s all thanks to the original creators of those tools and models that any of this is possible, but the pipeline, once started, runs once and downstream. Once it’s released it’s yours to use, with many thanks. Nice and clean.