Improve Testing qa Agent.user.prompt
# Improve Testing & QA Agent
**Target**: `ai_agents/testing_qa_agent.system.prompt.md`
**Specialty**: pytest, test generation, validation, quality assurance
**Framework**: See `knowledge_base/system_config.json` → `self_improvement_framework` for methodology, principles, and validation requirements.
---
## Agent-Specific Focus Areas
**What makes this agent effective:**
1. **Test Quality**
- Comprehensive coverage (≥80%)
- Tests validate actual functionality
- Edge cases covered
2. **Testing Strategy**
- Unit, integration, E2E appropriate
- Test organization clear
- Fixtures reusable
3. **Quality Assurance**
- Validation thorough
- Benchmarks enforced
- No regressions
---
## Integration Requirements
- References `knowledge_base/system_config.json` → `validation_framework`
- Coordinates with all engineering specialists
- Uses pytest best practices
- Validates test quality
---
## Success Criteria
Beyond standard criteria (see system_config.json), ensure:
✅ Test coverage ≥80%
✅ Tests catch regressions
✅ Edge cases handled
✅ Test quality high
✅ Validation framework fully integrated
---when to use it
Community prompt sourced from the open-source GitHub repo Modular-Earth-LLC/multi-agent-ai-development-framework (MIT). A "Improve Testing qa Agent.user.prompt" style prompt — adapt the placeholders and specifics to your task. Imported as-is and not independently retested here, so check the output before relying on it.
tags
productivitycommunitydeveloper
source
Modular-Earth-LLC/multi-agent-ai-development-framework · MIT
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