How to Test Applications Built with Claude Code Using testRigor

Claude Code can accelerate software development by inspecting repositories, modifying code, running commands, generating tests, and iteratively repairing failures, but tests created from the same assumptions as the implementation may fail to detect misunderstood requirements, missing edge cases, authorization flaws, or real-world integration problems. The article argues that AI-generated unit and developer tests should be supplemented with independently reviewed, risk-based acceptance criteria and broader integration, end-to-end, security, performance, accessibility, and resilience testing in representative environments. It presents testRigor as a plain-English, end-to-end testing platform that enables stakeholders to review executable business scenarios across web, mobile, APIs, email, SMS, databases, and multiple user roles while reducing dependence on fragile UI selectors. In the proposed workflow, stakeholders approve expected behavior, Claude Code implements and tests the feature, testRigor executes protected acceptance scenarios, and failure evidence guides fixes without allowing the AI to redefine success by weakening tests. Release readiness should ultimately depend on completed quality gates, validated business-critical workflows, security and operational checks, human review, and documented release evidence rather than an AI agent’s indication that work is complete.

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