Hey! I'm glad to hear that you had a similar idea. It uses deterministic AST parsing and static analysis for the core spec generation. LLMs are only optionally invoked for natural language descriptions and documentation enhancement. The structural extraction (functions, parameters, types, dependencies) is fully deterministic and replicable since it's based on tree-sitter parsing, not probabilistic inference.
I respect the username! My aim is to replace the confusing $150k+/year SIEM (Security Information and Event Management) complexity with cloud-native security monitoring that turns natural language questions into threat detections with behavioral context.