Databricks Test Automation for Apps & AI | testRigor

Databricks and testRigor are presented as complementary platforms for developing and validating data- and AI-powered applications through plain-English automated acceptance tests. testRigor supports testing of web interfaces, APIs, chatbots, AI responses, and connected business workflows, emphasizing validation of real outcomes such as permissions, approvals, record updates, and dashboard content rather than isolated technical components or exact AI wording. Its Model Context Protocol integration allows AI coding assistants to create, execute, inspect, and revise tests using natural-language interactions, while reusable test rules and concise commands may reduce test-definition complexity and AI token use. The approach promotes Acceptance Test-Driven Development by involving product managers, manual QA staff, developers, and AI agents in defining requirements before implementation, retaining approved scenarios as regression coverage, and integrating execution results into delivery pipelines. The material also distinguishes testRigor’s business-workflow testing from MLflow’s model evaluation capabilities, suggesting the two can be used together.

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