Shift-Up: A Framework for Software Engineering Guardrails in AI-native Software Development -- Initial Findings
📰 ArXiv cs.AI
Learn how Shift-Up framework applies software engineering guardrails to AI-native software development to improve maintainability and traceability
Action Steps
- Apply design science research methodology to identify gaps in AI-native software development
- Reinterpret established software engineering practices for AI-driven implementation
- Implement executable specifications to improve traceability
- Use Shift-Up framework to mitigate architectural drift
- Evaluate the effectiveness of Shift-Up in improving maintainability
Who Needs to Know This
Software engineers and AI researchers can benefit from this framework to ensure reliable and maintainable AI-native software systems
Key Insight
💡 Shift-Up framework reinterprets traditional software engineering practices for AI-native development to improve maintainability and traceability
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🚀 Shift-Up framework brings software engineering guardrails to AI-native development! 🤖
Key Takeaways
Learn how Shift-Up framework applies software engineering guardrails to AI-native software development to improve maintainability and traceability
Full Article
Title: Shift-Up: A Framework for Software Engineering Guardrails in AI-native Software Development -- Initial Findings
Abstract:
arXiv:2604.20436v1 Announce Type: cross Abstract: Generative AI (GenAI) is reshaping software engineering by shifting development from manual coding toward agent-driven implementation. While vibe coding promises rapid prototyping, it often suffers from architectural drift, limited traceability, and reduced maintainability. Applying the design science research (DSR) methodology, this paper proposes Shift-Up, a framework that reinterprets established software engineering practices, like executable
Abstract:
arXiv:2604.20436v1 Announce Type: cross Abstract: Generative AI (GenAI) is reshaping software engineering by shifting development from manual coding toward agent-driven implementation. While vibe coding promises rapid prototyping, it often suffers from architectural drift, limited traceability, and reduced maintainability. Applying the design science research (DSR) methodology, this paper proposes Shift-Up, a framework that reinterprets established software engineering practices, like executable
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