i have a strong suspicion that the most productive software teams that leverage llms to build quality software will use it for the following: - intelligent autocomplete: the "OG" llm use for most developers where the generated code is just an extension of your active thought process. where you maintain the context of the code being worked on, rather than outsourcing your thinking to the llm - brainstorming: llms can…
I usually use git and open source tooling, but I've been working with our internal tech stack recently. It includes an editor with AI-powered autocomplete, and it drives me crazy. It populates suggestions nearly instantly, which is constantly distracting. They're often wrong (either not the comment I was leaving, or code that's not valid). Most of the normal navigation keys implicitly accept the suggestion, so I spen…
i especially find suggestions distracting in markdown where i feel is the key place i really dont want an llm trying to interfere in my ability to communicate to other developers on my team