Improving Few-Shot Prompts with Relevant Static Analysis Products. (arXiv:2304.06815v1 [cs.SE])

Large Language Models (LLM) are a new class of computation engines,
"programmed" via prompt engineering. We are still learning how to best
"program" these LLMs to help developers. We start with the intuition that
developers tend to consciously and unconsciously have a collection of semantics
facts in mind when working on coding tasks. Mostly these are shallow, simple
facts arising from a quick read. For a function, examples of facts might
include parameter and local variable names, return expressions, simple …

analysis arxiv coding collection computation control data data flow developers engineering examples facts flow function intuition language language models large language models llm llms products prompt prompts quick read semantics