Manual testing has become a bottleneck in fast-paced software development, leading to a backlog of repetitive cases. To address this issue, the team integrated Azure DevOps' MCP server with GitHub Copilot to automate the generation and execution of end-to-end tests using Playwright. This automation allows for faster test creation, broader coverage, and seamless CI/CD integration, significantly reducing manual labor while enhancing test reliability. Effective prompting is crucial for successful automation, enabling the transformation of a comprehensive manual test suite into an automated process with minimal adjustments needed from the team.
In today's fast-paced software development cycles, manual testing often becomes a significant bottleneck. Our team was facing a growing backlog of test cases that required repetitive manual execution, consuming valuable time.
By leveraging Azure DevOps' new MCP server integration with GitHub Copilot, we automatically generate and run end-to-end tests using Playwright, transforming our testing process and enhancing efficiency.
Automating our testing pipeline has significantly reduced manual effort, improved test reliability, and accelerated our release cycles, enabling us to focus on exploratory testing and higher-value tasks.
Prompt is the king! Clear, specific prompts yield better results when working with AI. We transformed an entire manual test suite into an automated one with minimal oversight.
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