Cross-File Contextualization
How CodeDD understands relationships and patterns across your codebase
On this page
Individual file analysis catches local issues. Contextualization connects them — mapping how components interact, where patterns break down, and where systemic risk concentrates.
This runs after Architecture Analysis & Mapping and before consolidation.
Why it matters#
File-by-file scanners miss cross-cutting problems: inconsistent auth checks, data flowing without sanitization, duplicated logic across modules, and architectural anti-patterns that only appear at system level.
Domain mapping#
CodeDD groups files into logical domains based on directory structure, naming, imports, and framework patterns:
- Frontend — UI components, routing, client state
- Backend — APIs, business logic, middleware
- Database — schemas, migrations, ORM models
- Infrastructure — containers, orchestration, CI/CD, config
- Testing — unit, integration, and E2E tests
Per domain, you see LOC, file count, complexity, test coverage, and issue density.
What contextualization checks#
Cross-domain flows — how frontend, backend, and data layers connect; whether boundaries are respected.
Security consistency — auth mechanisms, protected vs. unprotected endpoints, credential handling across files.
Data flow — where sensitive data originates, how it moves, whether validation and sanitization happen at each boundary.
Systemic gaps — missing input validation, inadequate error handling, absent rate limiting, insufficient test coverage on critical paths.
Knowledge concentration — contributor distribution per domain, bus-factor signals, abandoned or high-churn areas.
Portfolio-level context#
For group audits, contextualization also surfaces cross-repository patterns: shared dependencies, common vulnerability types, and technology stack consistency across the portfolio.
What gets stored#
Domain names, file-to-domain mappings, metric summaries, architectural patterns, gap findings, and recommendations. Source code and snippets are not stored.