[2602.18607] Feedback-based Automated Verification in Vibe Coding of CAS Adaptation Built on Constraint Logic

[2602.18607] Feedback-based Automated Verification in Vibe Coding of CAS Adaptation Built on Constraint Logic

arXiv - AI 4 min read Article

Summary

The paper discusses a novel approach to automated verification in CAS adaptation using vibe coding and feedback loops, demonstrating effective generation of adaptation managers with precise functional requirements.

Why It Matters

This research is significant as it addresses the challenges in adapting complex systems through automated means, leveraging advancements in generative AI to enhance reliability and efficiency in system behavior verification. Its implications could lead to more robust AI systems in various applications.

Key Takeaways

  • Introduces a feedback-based approach for automated verification in CAS adaptation.
  • Utilizes vibe coding to enhance the correctness of generated adaptation manager code.
  • Employs a novel temporal logic, FCL, for precise functional requirement specification.
  • Demonstrates effective results with minimal feedback loop iterations in experiments.
  • Combines adaptation and feedback loops for improved system state evaluation.

Computer Science > Artificial Intelligence arXiv:2602.18607 (cs) [Submitted on 20 Feb 2026] Title:Feedback-based Automated Verification in Vibe Coding of CAS Adaptation Built on Constraint Logic Authors:Michal Töpfer, František Plášil, Tomáš Bureš, Petr Hnětynka View a PDF of the paper titled Feedback-based Automated Verification in Vibe Coding of CAS Adaptation Built on Constraint Logic, by Michal T\"opfer and 3 other authors View PDF HTML (experimental) Abstract:In CAS adaptation, a challenge is to define the dynamic architecture of the system and changes in its behavior. Implementation-wise, this is projected into an adaptation mechanism, typically realized as an Adaptation Manager (AM). With the advances of generative LLMs, generating AM code based on system specification and desired AM behavior (partially in natural language) is a tempting opportunity. The recent introduction of vibe coding suggests a way to target the problem of the correctness of generated code by iterative testing and vibe coding feedback loops instead of direct code inspection. In this paper, we show that generating an AM via vibe coding feedback loops is a viable option when the verification of the generated AM is based on a very precise formulation of the functional requirements. We specify these as constraints in a novel temporal logic FCL that allows us to express the behavior of traces with much finer granularity than classical LTL enables. Furthermore, we show that by combining the adaptatio...

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