Multi-AI Testing Overview multi-ai-testing provides test-driven development workflows with independent verification to prevent test gaming and ensure comprehensive test coverage. Purpose : Generate high-quality tests through TDD, achieve ≥80% coverage (gate) / ≥95% (target), prevent agents from gaming their own tests Pattern : Workflow-based (4 core workflows) Key Innovation : Independent verification through separate test/implementation agents prevents overfitting and test gaming Core Principles (validated by tri-AI research): 1. Test-First Development - Write tests BEFORE implementation 2.…