nWave-ai

Evidence quality validation and decision gate criteria for product discovery reviews

Mecânicas detalhadas de refatoração com procedimentos passo a passo, e catálogo de code smells de teste com padrões de detecção e exemplos de antes/depois.

Evidence collection methods, problem categorization, analysis techniques, and solution design patterns

Tool safety protocols, adversarial output validation, error recovery patterns, and I/O contracts for research operations

Source reputation tiers, cross-referencing methodology, bias detection, and citation format requirements

Test directory structure patterns by architecture style, language conventions, naming rules, and fixture placement. Decision tree for selecting test organization strategy.

Demonstration preparation, audience-tailored presentations, feedback collection, and business outcome measurement. Load when preparing demos or measuring business value delivery.

[EXPERIMENTAL] Complex refactoring roadmaps with visual tracking

YAML output format and approval criteria for platform design reviews. Load when generating review feedback.

Designs CI/CD pipelines, infrastructure, observability, and deployment strategy. Use when preparing platform readiness for a feature.

Quality gates - 11 commit readiness gates, build/test protocol, validation checkpoints, and quality metrics

Clojure language-specific patterns, data-first modeling, REPL-driven development, and spec