Introducing Nuanced: Enhancing AI Code Navigation with Precise Python Call Graphs
Nuanced, a new tool built upon JARVIS foundation, aims to provide better context for AI tools in navigating complex codebases. It focuses on accurate function-level analysis and evolving towards runtime insights. With features like improved error handling, consistent function identification across different parts of the graph, path resolution suitable for real projects’ navigation patterns, and a simple query interface designed specifically for AI tool integration, Nuanced aims to bridge gaps in existing static analyzers. Future plans include expanding capabilities with data flow tracking, code complexity metrics detection, type inferencing, dead code removal identification, and more. Open-source and accessible to both human developers and AI tools alike, Nuanced welcomes contributions from the community.\
Backed by Y Combinator support,\
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