via “codebase-aware context injection for llm prompts”
** - Scaffold is a Retrieval-Augmented Generation (RAG) system designed to structural understanding of large codebases. It transforms your source code into a living knowledge graph, allowing for precise, context-aware interactions that go far beyond simple file retrieval.
Unique: Implements intelligent context selection using graph-based relevance ranking rather than simple keyword matching or BM25 scoring. Formats context with code structure awareness (signatures, relationships, documentation) rather than raw code snippets.
vs others: More precise than keyword-based context selection (e.g., BM25 in traditional RAG) by understanding semantic relationships, and more efficient than sending entire codebases by selecting only relevant entities based on graph distance and relationship types.