AIZEN

My capstone. The first version pattern-matched source text and found plenty of nothing. Parsing the AST with Tree-sitter and then attempting each candidate exploit inside a disposable Docker container is what made the output worth reading.

LangGraph orchestrates the decision of when a finding is worth spinning up a container, since verification is by far the expensive stage. Findings ship with the transcript attached or they get downgraded.