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by sublinear
89 days ago
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I think you're missing my point. It has nothing to do with what I like. I'm saying there's a ton of nuance and human feedback necessary to build the software most developers work on for a living. It's built to requirements that evolve with the business. Businesses ultimately serve people with opinions and preferences. Businesses need to pass audits. Specs can change quarterly. Clients and their contracts come and go. It's exactly like building/maintaining custom furniture for a bespoke house, or consistently cooking a signature recipe at any scale and considering any necessary accommodations. If it wasn't true, the business wouldn't be viable regardless if AI is used or not. I'm talking about systems and services, not products. You are building a product for a narrow use case requiring DSP. Modeling was always the point. I don't doubt AI helped, but we're not talking about the same thing. If you were building something for an enterprise client, nobody would give a shit how you got it done as long as you have a demo by monday and it ships next month. No excuses and no gotchas. Any incident risks breaking the SLA and losing the contract. If the client calls a meeting at the last minute to make changes, you're probably working on the weekend. People don't like using AI for stuff like that. Efficiency is not the priority. People don't want cutting edge or novel. They want reliability and competence. Their livelihood depends on knowing exactly how it works and how it can be extended and maintained. They want to stay at least one step ahead of what the client asks for next. People want to test the hell out of it and nobody wants to get fired for not noticing what is obvious to other stakeholders who don't share their tunnel vision. Clients don't have much tolerance for delays or bugs. This is why AI has mixed or negative results for all but personal projects or startups. |
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For now, at least.