CATCODER: Repository-Level Code Generation with Relevant Code and Type Context

Understand

Large language models (LLMs) have demonstrated remarkable capabilities in code generation tasks.

• However, repository-level code generation presents unique challenges, particularly due to the need to utilize information spread across multiple files within a repository.
• Specifically, successful generation depends on a solid grasp of both general, context-agnostic knowledge and specific, context-dependent knowledge.
• While LLMs are widely used for the context-agnostic aspect, existing retrieval-based approaches sometimes fall short as they are limited in obtaining a broader and deeper repository context.