architecture-drift-radar

Architecture drift is the cumulative divergence between documented design intent and observed implementation evidence. It silently accumulates technical debt and structural decay, threatening system integrity when reasonable changes collectively alter system boundaries or control flows over time.

To detect architectural divergence before refactoring, compare your versioned design intent documents against current codebase, configuration state, and runtime evidence. This generates a drift report with impact assessments, highlighting discrepancies between intended architecture and actual implementation.

Analyzing architecture drift requires structured inputs of design intent, codebase evidence, and configuration state. You must supply documented architectural intent alongside observed implementation data to produce actionable drift reports that assess structural impact.

The best way to distinguish isolated exceptions from systemic architectural drift is through pattern analysis. This technique compares versioned design intent against current implementation evidence to identify whether discrepancies represent acceptable exceptions or cumulative drift threatening system integrity.

During incident analysis, architecture drift analysis works by comparing current implementation evidence against documented design intent to visualize how individual changes have collectively altered control flows. It produces actionable drift reports with impact assessments for complex software systems.

You should not use drift detection when you lack structured inputs of design intent, codebase evidence, and configuration state. Without versioned architecture documents to compare against observed implementation, generating actionable drift reports with accurate impact assessments is not possible.