GenAI in Testing: Using GitHub Copilot to Accelerate Quality Without Losing Trust

Generative AI is rapidly changing how developers write code—but its impact on testing and quality engineering is often misunderstood. While tools like GitHub Copilot can dramatically speed up test creation, they can also introduce flaky tests, false confidence, and security risks if used without clear guardrails.

In this hands-on workshop, we’ll explore how to use GitHub Copilot effectively and responsibly for testing. Drawing from real-world experience rolling out AI-assisted developer tooling in platform and CI/CD environments, this session focuses on accelerating quality without sacrificing trust.

Participants will learn where GenAI adds real value in testing workflows—and where human judgment is still essential. We’ll work through practical examples of using Copilot to generate and refactor unit, API, and integration tests, create test data and mocks, and improve test readability and maintainability. Just as importantly, we’ll cover how to review, validate, and govern AI-generated tests so they meet production-quality standards.

The workshop also touches on how AI-assisted testing fits into modern CI/CD pipelines, including quality gates, security considerations, and best practices for team-wide adoption. Attendees will leave with concrete techniques and guardrails they can apply immediately in their own projects.