[ColinEberhardt]

“When an LLM can generate a working high-quality implementation in a single try, that is called one-shotting. This is the most efficient form of LLM programming.”

This is a good article, but misses one of the most important advances this year - the agentic loop.

There are always going to be limits to how much code a model can one-shot. Give it the ability to verify its changes and iterate, massively increase its ability to write sizeable chunks of verified and working code.