AI for software engineering: from probable to provable

📰 ArXiv cs.AI

Learn how to apply AI in software engineering by combining creativity with rigor to overcome obstacles like prompt engineering and hallucination

advanced Published 25 Apr 2026

Action Steps

Apply AI techniques to programming tasks using vibe coding
Specify clear goals using prompt engineering to mitigate hallucination
Combine AI creativity with formal methods to ensure correctness
Test and validate AI-generated code using rigorous testing frameworks
Refine AI models using feedback from testing and validation

Who Needs to Know This

Software engineers and AI researchers can benefit from this approach to improve the accuracy and reliability of AI-generated code

Key Insight

💡 Combining AI creativity with formal methods can help ensure the correctness and reliability of AI-generated code

Key Takeaways

Learn how to apply AI in software engineering by combining creativity with rigor to overcome obstacles like prompt engineering and hallucination

Full Article

Title: AI for software engineering: from probable to provable

Abstract:
arXiv:2511.23159v2 Announce Type: replace-cross Abstract: Vibe coding, the much-touted use of AI techniques for programming, faces two overwhelming obstacles: the difficulty of specifying goals ("prompt engineering" is a form of requirements engineering, one of the toughest disciplines of software engineering); and the hallucination phenomenon. Programs are only useful if they are correct or very close to correct. The solution? Combine the creativity of artificial intelligence with the rigor of

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