How do we scale LLMs to larger codebases? Nobody knows yet. But by understanding how LLMs contribute to engineering, we realize that investments in guidance and oversight are worthwhile. Guidance: The context, the environment. Oversight: The skill set needed to guide, validate, and verify the implementor's1 choices. Investing in guidance 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....