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arxiv:2408.05344

AI-assisted Coding with Cody: Lessons from Context Retrieval and Evaluation for Code Recommendations

Published on Aug 9, 2024
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Abstract

LLM-based coding assistants provide code recommendations by leveraging context, with evaluations showing improvements from context enhancements.

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In this work, we discuss a recently popular type of recommender system: an LLM-based coding assistant. Connecting the task of providing code recommendations in multiple formats to traditional RecSys challenges, we outline several similarities and differences due to domain specifics. We emphasize the importance of providing relevant context to an LLM for this use case and discuss lessons learned from context enhancements & offline and online evaluation of such AI-assisted coding systems.

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