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  1. Red Hat Advanced Cluster Management
  2. ACM-25530

Design and implement automated Epic-to-task breakdown capability

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    • SF Train-33, SF Train-34
    • None

      Task Goal
      Develop AI automation to break down test Epics into individual tasks with proper environment configurations, Jenkins parameters, and acceptance criteria.

      Description
      This task focuses on building AI-powered Epic breakdown capabilities by:
      - Analyzing Epic requirements and acceptance criteria
      - Generating individual test tasks with specific configurations
      - Creating AI prompt templates for task breakdown logic
      - Supporting multiple Epic types (zStream, regression, feature)

      Acceptance Criteria
      - [ ] AI prompt templates for Epic analysis and task identification
      - [ ] Automation script breaks down Epics into granular tasks
      - [ ] Generated tasks include environment details (cluster config, test parameters)
      - [ ] Jenkins job parameters properly configured in task descriptions
      - [ ] Support for zStream, regression, and feature test Epic types
      - [ ] Integration with /jira-breakdown slash command
      - [ ] Task descriptions follow QE team standards

      Technical Considerations
      - Use Claude Code for intelligent Epic analysis
      - Integrate with jira-administrator agent for task creation
      - Support hierarchical task relationships (sub-tasks)
      - Handle task dependencies and ordering

      Support Readiness
      - [ ] Documentation of Epic breakdown process and templates
      - [ ] Best practices guide for Epic structure

      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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                Created:
                Updated: