analysis

Architecture validation relies on empirical evidence by applying structured analysis to benchmarks, complexity metrics, and scalability projections. This approach generates hypothesis-driven reports to test specific architecture and performance claims rather than relying on subjective opinions.

Hypothesis-driven trajectory analysis evaluates a released codebase by generating testable hypotheses about its architecture and performance. It produces an auditable, findings-rich knowledge-base document suitable for baseline tracking and governance based on empirical metrics.

Run scalability and complexity metrics analysis by invoking the analysis process on a released codebase. It executes six analysis modules to produce a comprehensive, evidence-backed report assessing architecture fitness and scalability projections.

Yes, you can align architecture benchmarks with project goals by opting in via an analysis-config.txt file and supplying a plan slug. This plan-binding mechanism ensures the assessment validates trajectory claims against the defined project architecture goals.

Trajectory validation requires no external dependencies but needs an opt-in configuration file named analysis-config.txt applied per project. It operates on released codebases and optionally accepts a plan slug to bind the empirical assessment to specific architecture claims.

An evidence-based architecture fitness report includes metrics from six analysis modules covering benchmarks, complexity metrics, architecture fitness, and scalability projections. It outputs a comprehensive knowledge-base audit designed for baseline tracking and governance.