KCoEvo
What it is
KCoEvo is a framework that enhances LLM-based code generation by augmenting it with Knowledge Graphs (KG) that map API evolution. It uses rule-based graph alignment and synthetic supervision to help models generate version-consistent code migrations.
The problem it solves
Standard LLMs struggle with version-consistent code generation and lack of awareness regarding complex API changes across library versions.
What you could use it for
- Migrating codebases between different versions of libraries (e.g., TensorFlow or PyTorch)
- Generating code that maintains structural and semantic alignment with updated APIs
- Automated API migration planning using graph-informed prompts
Read the source ↗Back to the library →
Summary written by an AI model from the source; check the source before you rely on it.