Version updated for https://github.com/kamilpajak/heisenberg to version v0.6.0. This action is used across all versions by 0 repositories. Action Type This is a Docker action. Go to the GitHub Marketplace to find the latest changes. Action Summary Heisenberg is a GitHub Action that uses AI to analyze CI/CD failures, focusing on Playwright and other workflows. It automates root-cause analysis by reading logs, artifacts, traces, and source code to identify the reasons behind test failures, pinpoint bug locations, and suggest actionable fixes. By clustering errors and providing detailed structured reports, it streamlines debugging and accelerates issue resolution in continuous integration pipelines.

Version updated for https://github.com/kamilpajak/heisenberg to version v0.5.0. This action is used across all versions by 0 repositories. Action Type This is a Docker action. Go to the GitHub Marketplace to find the latest changes. Action Summary Heisenberg is a GitHub Action designed to automate root-cause analysis (RCA) of continuous integration (CI) failures, with a focus on Playwright workflows. Leveraging AI, it analyzes logs, artifacts, traces, and source code to identify why tests failed, where bugs are located, and how to resolve them, providing structured reports to save time and reduce manual debugging. It is particularly useful for large CI runs by clustering failures and analyzing them efficiently.

Version updated for https://github.com/kamilpajak/heisenberg to version v0.4.0. This action is used across all versions by 0 repositories. Action Type This is a Docker action. Go to the GitHub Marketplace to find the latest changes. Action Summary Heisenberg is a GitHub Action that uses AI to analyze CI workflow failures, providing structured root-cause analysis (RCA) reports with actionable insights. It examines logs, artifacts, traces, and source code to identify the reasons behind test failures, pinpoint bug locations, and suggest fixes, saving developers from manually parsing extensive logs. Heisenberg is particularly useful for automating failure diagnostics in complex CI environments, reducing debugging time and improving development efficiency.