I think (hope?) our industry will reach some equilibrium between fully agentic development and reviewing/hand tuning the code.

Personally for my job I struggle to justify writing code by hand. Agents are much better at typing the code, reading the code, finding patterns and discovering bugs. They don't have my knowledge and my background so the current models still miss things or overcomplicate the code. I don't know if that's going to be true of the next generation of models (or the one after that).

With current models, I cannot fully give in to the vibes. I _have_ to look at code (maybe not 100% of it but at least a majority of the lines). I _have_ to grill the agent to make sure it writes the best code that I deem possible for the problem at hand. This isn't the fastest way to do agentic development, but AI agents have already made us significantly faster than we were in the pre-AI era. I don't want to squeeze every ounce of 'development speed' if that comes at a cost to code quality, maintainability or debuggability.

For my side projects, things are different: either I only care about the outcome (and I give in to the 'vibes') or I care about the journey just as much as the destination in which case the agents are extremely advanced search engines, code reviewers and mentors but they don't get to write any of the code.

Yeah, I guess I personally fall on the whole spectrum: for side projects I'm at the extremes but for my professional work I fall somewhere in the middle.