Thoughts on a UI for building trust in LLM-generated code (www.shreyaw.com)

The growing capabilities of large language models (LLMs) in code generation have led to challenges in building trust among developers regarding the quality of the output. As LLMs produce more extensive and rapid code changes, the traditional review process has become increasingly cumbersome, making intuitive assessments of these changes difficult. Developers are seeking improved interfaces that can enhance their confidence in LLM-generated code by simplifying the review process, allowing for faster identification of errors, and ensuring more efficient use of their time. Proposed solutions include semantic labeling of code chunks and automated evaluations of changes against developers' intended modifications. By organizing code into logical segments and using LLMs to generate semantic tags, developers could quickly assess risks associated with specific changes, helping to streamline their review efforts. The suggested interfaces range from inline code displays to sidebar maps where developers can navigate through semantic sections, potentially transforming how changes are contextualized during reviews. This evolution in UI design aims to keep pace with the rapid advancements in AI-driven code generation, ultimately enhancing trust and efficiency within the developer community.