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Task
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Resolution: Unresolved
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Undefined
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None
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None
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Quality / Stability / Reliability
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3
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False
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False
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Not Selected
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SF Train-33, SF Train-34
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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.