  Crafting effective prompts for code generation or editing with Large Language
Models (LLMs) is not an easy task. Particularly, the absence of immediate,
stable feedback during prompt crafting hinders effective interaction, as users
are left to mentally imagine possible outcomes until the code is generated. In
response, we introduce Language-Oriented Code Sketching, an interactive
approach that provides instant, incremental feedback in the form of code
sketches (i.e., incomplete code outlines) during prompt crafting. This approach
converts a prompt into a code sketch by leveraging the inherent linguistic
structures within the prompt and applying classic natural language processing
techniques. The sketch then serves as an intermediate placeholder that not only
previews the intended code structure but also guides the LLM towards the
desired code, thereby enhancing human-LLM interaction. We conclude by
discussing the approach's applicability and future plans.
