I wonder if this is a case of gdm optimising for the destination rather than the journey. Or more concretely, optimising for entirely AI-produced code over coding assistants.
They still have to choose whether to optimize for an AI coding agent that can upgrade established codebases, or whether the vision is to replace ~all existing codebases with AI-generated and AI-maintained code. The former is my use case, auditing and improving existing niche scientific software, but the latter makes more sense to me as a way to get the maximum leverage out of this technology in the long run.
I wonder if this is a case of gdm optimising for the destination rather than the journey. Or more concretely, optimising for entirely AI-produced code over coding assistants.
They still have to choose whether to optimize for an AI coding agent that can upgrade established codebases, or whether the vision is to replace ~all existing codebases with AI-generated and AI-maintained code. The former is my use case, auditing and improving existing niche scientific software, but the latter makes more sense to me as a way to get the maximum leverage out of this technology in the long run.