BACK

Understanding Vibe Coding and AI Tools
- Vibe coding: AI-assisted code generation using natural language.
- AI tools like Cursor simplify coding without deep technical setup.
- Current limitations exist in AI tool integration and maturity.
- AI enables faster coding, test fixing, and bug prediction.

Changes in QA Role and Responsibilities
- Traditional QA as “bug hunter” is evolving.
- QA becomes more of a “sensei” or facilitator ensuring quality comprehensively.
- AI helps test idea generation (agentic testing), predicting user behavior and test outcomes.
- Everyone on the team now contributes to quality, raising challenges about ownership responsibility.

Key Areas of AI Impact in QA
- Self-healing tests: automatic fixing of broken tests.
- Test design augmentation: AI supports generating and refining test cases.
- Bug prediction: AI analyzes past bugs and predicts potential issues.
- Data thinking: understanding user behavior and smart test data selection.
- Prompt engineering: crafting precise AI prompts is critical for success.

Challenges and Considerations
- False positives: AI-generated or automated tests may pass but miss real issues.
- Human verification remains essential to ensure test validity, context relevance, and user-centered evaluation.
- AI cannot replace human empathy or critical thinking.
- Responsibility ambiguity: when all test, who truly owns quality?

Actionable Items / Tasks
- Learn to generate simple test cases with AI tools.
- Practice bug prediction using AI prompts.
- Use AI like ChatGPT for generating test reports.
- Experiment with different prompt techniques (one-shot, few-shot).
- Leverage AI for test data generation and Postman collections.
- Train to write clear, domain-specific AI prompts.
- Maintain a critical QA mindset: question if system behaviors make sense for users.
- Be prepared to manually verify AI results and maintain responsibility for quality assurance.

Future Outlook and Discussion
- QA role is shifting from purely technical testers to strategic quality facilitators combining AI use with human insight.
- AI accelerates tasks but demands new skills, particularly in prompt engineering and critical product understanding.
- The quality profession will become more complex, requiring adaptation and continuous learning.

Conclusion
- Embrace AI as a tool to enhance QA effectiveness but rely on human oversight.
- The QA role evolves beyond bug hunting to quality leadership incorporating AI capabilities.
- Continual dialogue and experimentation with AI in QA practices are recommended.

How Vibe Coding Is Changing the Role of the QA Engineer

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15:20 - 15:50, 28th of May (Wednesday) 2025 / DEV ARCHITECTURE STAGE

How Vibe Coding Is Changing the Role of the QA Engineer
1. Is AI testing better than you already? Yes? No?
2. What Is Vibe Coding? 
Simple definition:
 Vibe coding is when you stop writing code and start describing it.
 The AI writes the code 
Show one or two prompt examples
3. QA: Then vs Now 
Old QA vs New Vibe QA
4. Will AI Kill QA? 
5. The New Skillset for QA
6. What You Can Start Doing Today
7. Closing & Q&A 
Final quote: AI won’t replace you. But the QA who uses AI might.
 

LEVEL:
Basic Advanced Expert
TRACK:
AI/ML
TOPICS:
Testing