Your prompt engineering course is trash now.
Karpathy said it straight at Sequoia Ascent: stop treating LLMs as oracles.
They're statistical "ghosts"
they need to be guided, controlled,
and constrained by rigid boundaries.
Before: send text, get text back.
The model forgot context
on step five - and nobody knew why.
Now the agent writes the code,
runs its own tests, reads the error
and rewrites the fix - on its own,
until the tests pass at 100%.
Behind this are three technologies
almost nobody talks about.
Transactions that roll back
when the agent makes a mistake.
Memory that deletes outdated facts on its own.
Routing that decides which agent
a given step actually needs.
The human reviews it and hits "Deploy."
No prompt engineering course will explain any of that.