audit-context-building

Build a stable mental model for a smart contract security audit by performing ultra-granular, line-by-line code analysis to surface invariants, assumptions, and cross-function dependencies. This establishes the deep contextual understanding required before vulnerability hunting.

The best way to prepare for threat modeling and architecture reviews is applying structured reasoning like First Principles and 5 Whys during code analysis. This reveals root causes and dependencies, outputting explicit risks for pre-audit readiness.

Start vulnerability hunting preparation in a new codebase by enabling ultra-granular analysis mode, pointing it at the target contracts, and generating a per-function micro-analysis scaffold to review for edge cases and flows.

Yes, ultra-granular code analysis works for maintaining global context by continuously updating a persistent mental model that links functions, modules, and system behavior across the entire codebase during security audits.

You need line-by-line code analysis for vulnerability hunting because high-level reviews lack the deep contextual understanding required to surface complex edge cases, hidden invariants, and cross-function dependencies effectively.