But, investors do care about the stability of the system they invested in. And how quickly it can be extended and expanded upon while still maintaining functionality. And they deeply care about scalability. I don’t believe this is a question about whether code is LLM generated. I think this is a question of having the ability to build a system that can be up and provide the value that investors expect. And the way you use AI and your knowledge of systems does play a role in that, especially over time.
And another point: it doesn’t have to be either or. Sometimes the prudent thing is to hand code a specific highly sensitive part of the system while your agents are building other things. The fact that these agents can do things in the background frees us with different possibilities. And also, sometimes hand coding some areas in the code that you are not familiar with builds your knowledge which the ln enables you to guide the agents more effectively later on. There’s benefits of both approaches and both approaches can be done simultaneously.
Yes. I stopped looking at the code about 9 months ago. It's easier/better/quicker to learn how to get the LLM to audit the code.
Investors don't care if the code is LLM-generated, they're mostly assuming that now anyway. The VC's I've talked to recently are screening pitches using an LLM, they're embracing this tech.
If I recruited a new dev to the team now, I would expect them to be able to run multiple agentic coding instances simultaneously. I would not expect them to be hand-crafting code any more.