"You work through AI agents, not alongside them. Your daily development workflow is built around directing and reviewing agent-written code, not writing it by hand. You have opinions about which models to use for which tasks, you've hit real failure modes and built mitigations, and your workflow is actively evolving. Bonus: you use multi-agent patterns, enable others on your team to build faster with AI, or have scaled AI impact beyond yourself."
This took me aback a little as I don't think yet I have seen companies talking about hand-writing code being bad.
Is this happening more often?
For the time being, agentic coding makes 10x supermen out of existing medium and long-time coders. How much more code do we need, after all?
Second, look at the rate of "AI" improvement. Agents will start writing themselves in a few weeks or months, then all the agent wranglers and LLM jockeys will become 100x supermen. Soon, humans won't be in the loop at all.
The window in which one could become an agentic-only-coder, occupying that sort of market position, is seen to be technologically determined, and technologically finite.
Agents are still far too unreliable and dumb for this model and need strict discipline by a developer who really understands fundamentals. And sometimes it’s just faster to do the damn thing yourself instead of writing a whole paragraph to an agent that still might do it wrong.