test-pyramid-advisor

Test distribution analysis evaluates the current ratio of unit, integration, and end-to-end tests within your project. By comparing this ratio against quality standards, it identifies imbalances like over-reliance on slow tests and provides recommendations to improve execution efficiency.

CRAFT standard benchmarking compares your current test distribution against established quality standards for different project levels (L1, L2, L3). This comparison diagnoses imbalances in your test suites and generates specific recommendations to optimize test execution efficiency and quality coverage.

Development velocity slows down when there is an over-reliance on slow, brittle end-to-end tests or insufficient unit tests. Analyzing your test distribution helps identify this imbalance and provides advice on rebalancing the suite to restore overall code quality and speed.

You can analyze test suites by utilizing AICTXT, test_suites.md, and bdd_test_scenarios.md as input artifacts. The analysis examines your test distribution against CRAFT standards to generate diagnostic reports and recommendations for optimizing quality coverage.

The best way to define a testing strategy for a new feature is to ensure planned tests align with established best practices early on. Analyzing your test distribution against project-level standards prevents costly overhauls later by ensuring optimal efficiency and coverage.

No specific dependencies are required to benchmark test coverage against L1, L2, and L3 levels. The analysis operates directly on your input artifacts to evaluate test distribution and provide recommendations based on the CRAFT standard.