Code Completion

Code completion automates the suggestion of code snippets during software development, aiming to boost developer productivity and code quality. Current research emphasizes improving the accuracy and efficiency of these tools, particularly focusing on leveraging large language models (LLMs) and incorporating repository-level context through techniques like retrieval augmentation and graph-based approaches. This field is crucial for enhancing software development workflows, with ongoing efforts addressing challenges such as security vulnerabilities in LLM-based tools and the need for more realistic and comprehensive evaluation benchmarks.