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The rise of async AI programming

(www.braintrust.dev)
123 points mooreds | 1 comments | 11 Sep 25 12:20 UTC | HN request time: 0.202s | source
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jmull ◴[11 Sep 25 15:47 UTC] No.45212981[source]▶
This vision of AI programming is DOA.

The first step is "define the problem clearly".

This would be incredibly useful for software development, period. A 10x factor, all by itself. Yet it happens infrequently, or, at best, in significantly limited ways.

The main problem, I think, is that it assumes you already know what you want at the start, and, implicitly, that what you want actually makes some real sense.

I guess maybe the context is cranking out REST endpoints or some other constrained detail of a larger thing. Then, sure.

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1. Graphon1 ◴[11 Sep 25 19:09 UTC] No.45215057[source]▶
> is that it assumes you already know what you want at the start, and, implicitly, that what you want actually makes some real sense.

My experience is different. I find that AI-powered coding agents drop the barriers to experimentation drastically, so that ... yes if I don't know what I Want, I can go try things very easily, and learn. Exploration just got soooo much cheaper. Now that may be a different interaction that what is described in this blog post. The exploration may be a precursor to what is happening in this blog post. But once I'm done exploring I can define the problem and ask for solutions.

If it's DOA you'd better tell everyone who is currently doing this, that they're not really doing this.