Cross-repository understanding using static analysis and selective AI

Show HN: Cross-repository understanding using static analysis and selective AI

Cross-repository understanding using static analysis and selective AI is a business in show hn launch.

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Built this because I kept losing context when working across multiple services. You know the problem: "what breaks if I change this auth function?" requires manually tracing through 5+ repositories to find all the dependencies.Technical approach:- Tree-sitter AST parsing for reliable dependency extraction across languages - Graph storage for efficient relationship traversal - AI only for semantic pattern matching on structured data (not raw code analysis) - Real-time impact analysis without the accuracy problems of pure semantic approachesKey insight: Don't trust AI for detailed code analysis (research shows 15-20% error rates), but use it for broader connections between components that stat

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Website: www.omnispex.dev