Earlier quoted context omitted.
Agreed, but: There's been a notable jump over the course of the last few months, to where I'd say it's inevitable. For a while I was holding out for them to hit a ceiling where we'd look back and laugh at the idea they'd ever replace human coders. Now, it seems much more like a matter of time. Ultimately I think over the next two years or so, Anthropic and OpenAI will evolve their product from "coding assistant" to "…
> Ultimately I think over the next two years or so, Anthropic and OpenAI will evolve their product from "coding assistant" to "engineering team replacement" The way I see it, there will always be a layer in the corporate organization where someone has to interact with the machine. The transitioning layer from humans to AIs. This is true no matter how high up the hierarchy you replace the humans, be it the engineers l…
In some business contexts, the impact of more engineering labor on output gets capped at some point. Meaning once agent quality reaches a certain point, the output increase is going to be minimal with further improvements. There, labor is not the bottleneck.
In other business contexts, labor is the bottleneck. For instance it's the bottleneck for you as an individual: what kind of revenue could you make if you had a large team of highly skilled senior SWEs that operate for pennies on the dollar?
Labor will shift to where the ROI is highest is what I think you'll see.
To be fair, I can imagine a world where we eventually fully replace the "driver" of the agent in that it is good enough to fulfill the role of a ~staff engineer that can ingest very high level business context, strategy, politics and generate a high level system design that can then be executed by one or more agents (or one or more other SWEs using agents). I don't (at this point) see some fundamental rule of physics / economics that prevents this, but this seems much further ahead from where we are now.