audit-context-building

Build deep context for a security audit by applying ultra-granular, line-by-line code analysis to reveal hidden flows and invariants. This structured approach maintains a persistent mental model across modules, reducing context loss and hallucinations during vulnerability discovery.

The best way to perform line-by-line code analysis for threat modeling is using a phase-based workflow: initial orientation, ultra-granular micro-analysis, and global system understanding. This applies First Principles, 5 Whys, and 5 Hows at micro scale to map cross-function dependencies.

Yes, you can use this micro-analysis framework for architecture reviews across various languages and project sizes. It tracks reasoning across modules and functions to identify invariants, making it suitable for diverse codebases and rigorous documentation.

Start a vulnerability audit using a First Principles driven approach by providing a concrete target like a function or module. Instruct the model to perform ultra-granular micro-analysis following the Phase 1 to 3 framework to establish initial orientation and track dependencies.

AI assistants hallucinate during code analysis due to context loss across complex modules. Context building prevents this by establishing a stable, explicit mental model through block-by-block reasoning, ensuring invariants and hidden flows are tracked accurately.

No, this vulnerability audit framework requires no external dependencies or specific components. It operates as a standalone reasoning methodology, applying structured techniques like 5 Whys and 5 Hows to build deep architectural context directly from your codebase.