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  1. Red Hat Advanced Cluster Management
  2. ACM-25531

Design and implement AI-powered test execution automation

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      Task Goal
      Develop Claude-based test execution commands that can trigger Jenkins jobs based on Jira ticket components.

      Description
      This task focuses on building AI-powered test execution automation by:
      - Implementing component-based job mapping and selection
      - Creating Jenkins job trigger automation via API
      - Developing AI prompts for job parameter configuration
      - Building /acm-reg-test slash command integration

      Acceptance Criteria
      - [ ] Component detection from Jira tickets for job selection
      - [ ] Jenkins job trigger automation with proper parameters
      - [ ] Job mapping configuration (jenkins-job-mapping.json) implemented
      - [ ] Support for default and alternative job selection
      - [ ] Integration with /acm-reg-test slash command
      - [ ] Error handling and retry logic for job triggers
      - [ ] Documentation of job mapping and trigger workflow

      Technical Considerations
      - Use Jenkins REST API for job triggering
      - Implement robust component→job mapping logic
      - Support parameterized Jenkins builds
      - Handle authentication and permissions
      - Provide job status feedback to users

      Support Readiness
      - [ ] Jenkins integration troubleshooting guide
      - [ ] Job mapping configuration documentation

      Generated by Claude Code for AI-powered Global Hub regression test automation project.

              huichen@redhat.com Hui Chen
              huichen@redhat.com Hui Chen
              Hui Chen Hui Chen
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