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feat: transform QA agent into Test Architect with advanced quality ca… (#433)

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* feat: transform QA agent into Test Architect with advanced quality capabilities

  - Add 6 specialized quality assessment commands
  - Implement risk-based testing with scoring
  - Create quality gate system with deterministic decisions
  - Add comprehensive test design and NFR validation
  - Update documentation with stage-based workflow integration

* feat: transform QA agent into Test Architect with advanced quality capabilities

  - Add 6 specialized quality assessment commands
  - Implement risk-based testing with scoring
  - Create quality gate system with deterministic decisions
  - Add comprehensive test design and NFR validation
  - Update documentation with stage-based workflow integration

* docs: refined the docs for test architect

* fix: addressed review comments from manjaroblack, round 1

* fix: addressed review comments from manjaroblack, round 1

---------

Co-authored-by: Murat Ozcan <murat@mac.lan>
Co-authored-by: Brian <bmadcode@gmail.com>
This commit is contained in:
Murat K Ozcan
2025-08-15 21:02:37 -05:00
committed by GitHub
parent 33269c888d
commit 0b61175d98
76 changed files with 9245 additions and 1442 deletions
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5
bmad-core/checklists/architect-checklist.md
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@@ -403,33 +403,28 @@ Ask the user if they want to work through the checklist:
Now that you've completed the checklist, generate a comprehensive validation report that includes:
1. Executive Summary
- Overall architecture readiness (High/Medium/Low)
- Critical risks identified
- Key strengths of the architecture
- Project type (Full-stack/Frontend/Backend) and sections evaluated
2. Section Analysis
- Pass rate for each major section (percentage of items passed)
- Most concerning failures or gaps
- Sections requiring immediate attention
- Note any sections skipped due to project type
3. Risk Assessment
- Top 5 risks by severity
- Mitigation recommendations for each
- Timeline impact of addressing issues
4. Recommendations
- Must-fix items before development
- Should-fix items for better quality
- Nice-to-have improvements
5. AI Implementation Readiness
- Specific concerns for AI agent implementation
- Areas needing additional clarification
- Complexity hotspots to address