Option 1 (Recommended - Counterintuitive):
"If you're treating your LLM like a junior developer, you're getting junior-level code. Here's why that's backwards."
Option 2 (Challenge):
"You know that whack-a-mole feeling when coding with LLMs? That's not the AI's fault — it's yours."
Option 3 (Observation):
"The developers getting 12x productivity from AI aren't better coders. They're better delegators."
If you're treating your LLM like a junior developer, you're getting junior-level code. Here's why that's backwards.
Most developers give their LLM tiny tasks. "Write this function." "Fix this bug." "Add validation here." Then they spend hours correcting what comes back. That's not AI helping — that's AI creating more work.
Here's the thing — if you delegate like you're managing an intern, you get intern-level output. Small tasks, narrow context, constant hand-holding.
But what if you delegated like you're working with a chief architect?
I started treating my LLM differently. Instead of "write this function," I give it the whole problem. The business context. The constraints. The integration points. I describe what good looks like.
And something interesting happens — it asks better questions. It sees edge cases I missed. It suggests architectural patterns I wasn't considering.
The difference isn't the model. It's how you frame the ask.
The developers who feel like they're playing whack-a-mole with AI? They're giving piecemeal instructions and getting piecemeal results. Then fixing. Then re-fixing.
The developers getting real acceleration? They're delegating complete problems with complete context.
Look — if you always feel like you have to do all the work yourself, you'll never unlock what AI can actually do. The new 100x developer isn't the fastest typist. It's the person who knows how to delegate wisely to AI and scale their thinking beyond what they could ever build alone.
Treat it like an intern, get intern work. Treat it like a chief architect, get architectural thinking.
The choice is yours.