Hambaobao/HCP-Coder
Hierarchical Context Pruning (HCP): A strategy to optimize real-world code completion with repository-level pre-trained code large language models
This project helps developers improve the accuracy of their AI code completion tools. It takes your existing codebase, analyzes it to understand the full context, and outputs optimized suggestions for missing code. Software engineers and AI/ML practitioners working on developer tools would find this useful for evaluating and enhancing code LLMs.
No commits in the last 6 months.
Use this if you are a developer or ML engineer evaluating or building AI code completion features and want to provide more relevant, context-aware suggestions from a large codebase.
Not ideal if you are an end-user developer simply looking for a new IDE extension; this is a tool for developers building or benchmarking code completion systems.
Stars
16
Forks
2
Language
Python
License
MIT
Category
Last pushed
Nov 17, 2024
Commits (30d)
0
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