Task Goal
Develop AI automation to analyze test failure logs, identify root causes, categorize failures, and provide actionable insights.

Description
This task focuses on building AI-powered failure analysis capabilities by:
- Analyzing Jenkins test failure logs using Claude Code
- Identifying common failure patterns and root causes
- Categorizing failures (infrastructure, code, environment, flake)
- Generating actionable recommendations for debugging

Acceptance Criteria
- [ ] AI prompt templates for log analysis and pattern recognition
- [ ] Automated failure log retrieval from Jenkins
- [ ] Failure categorization logic (infrastructure, code, env, flake)
- [ ] Root cause identification with confidence scores
- [ ] Actionable recommendations generated for each failure type
- [ ] Integration with /jenkins-analyze slash command
- [ ] Failure trend analysis across multiple test runs

Technical Considerations
- Use Claude Code for intelligent log analysis
- Implement log parsing for multiple test frameworks
- Support large log files with chunking/summarization
- Identify known issue patterns and link to existing Jira bugs
- Provide debugging context and relevant code references

Support Readiness
- [ ] Failure analysis interpretation guide
- [ ] Common failure pattern catalog

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