Enhances Clojure development with semantic code navigation and similarity search using vector embeddings.
CIDER Embedding is a specialized skill designed for Clojure developers who use CIDER. It leverages semantic embeddings to transform codebases into a searchable vector space, enabling advanced navigation beyond simple text matches. By integrating semantic completion and similarity search, it allows developers to find related functions and logic patterns across complex projects, significantly improving code discovery and cross-referencing capabilities through topological analysis.
Key Features
01Semantic code completion based on contextual embeddings
02Enhanced cross-reference navigation within CIDER
03Topological code analysis for improved project mapping
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05Vector-based similarity search for finding related Clojure functions
06Integration with vector space operations for Clojure symbols
Use Cases
01Navigating complex, unfamiliar projects using semantic relationships instead of just text
02Finding logically similar functions when refactoring large Clojure codebases
03Improving auto-completion accuracy through machine learning-driven context
