LLMs allow writing shitty software to be significantly cheaper, not necessarily good software, but good enough in certain contexts. And also it means that there's certain software now that isn't plain old computing that can be run cheaply. It's relatively expensive marginal cost.
AI makes 'good enough' suddenly viable
Execution → Technical Tradeoffs
We're used to computers doing exactly what we told them to do, which is not necessarily what we meant. And only some people have learned the skill of programming, the arcane magical incantations to make computers do exactly what you meant. Now, LLMs can do all kinds of stuff. And they don't do exactly what you told them, but they do typically do roughly what you meant.
Forward-deployed engineering refers to having engineers work directly at client sites to build and implement solutions in real-time.
The cost of doing things like forward-deployed engineering has fallen by maybe five to 10x now at least with AI coding tools.
We've saved over half a million dollars of SaaS products we were going to buy because our go-to-market team has now built apps instead of buying them. Our head of partnerships, instead of buying a partner portal product, has actually built its own partner portal.
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