audit-context-building

Security auditing for large codebases uses ultra-granular per-function analysis to trace internal calls, external interactions, and data flows. This establishes a durable architectural context linking module behavior to system-wide threat modeling.

Per-function analysis in threat modeling applies line-by-line micro-analysis using First Principles and 5 Whys to reveal invariants and assumptions. It evaluates function purpose, inputs, outputs, and cross-function dependencies to maintain stable reasoning over time.

Tracing data flows across functions for architecture reviews involves block-by-block micro-analysis to map inputs, assumptions, and outputs. Structured outputs and traceable evidence link individual function interactions to global system behavior.

Vulnerability hunting in large codebases benefits from building a durable architectural context through phase-based workflows. This persistent model links micro-analysis insights from individual functions to global system behavior for stable reasoning.

Maintaining a persistent mental model during code analysis requires linking per-function insights to modules and system-wide behavior. This global-context construction enables stable reasoning over time by providing structured outputs and traceable evidence.

Ultra-granular context building for security auditing is needed when assessing large codebases for vulnerabilities, architecture reviews, or threat modeling. It satisfies requirements for per-function purpose, inputs, outputs, and cross-function dependencies with traceable evidence.