cs.SE · 2026-06-09 · No. 18

Software Engineering, 2026-06-09.

3 new papers in cs.SE. Titles, authors, abstracts. Links to arXiv. Want this in your inbox every morning? Subscribe →

01 — The papers

3 entries
  1. 01

    FASE: Fast Adaptive Semantic Entropy for Code Quality

    Shizhe Lin, Ladan Tahvildari

    cs.SE · cs.AI · cs.MA

    Multi-agent code generation offers a promising paradigm for autonomous software development by simulating the human software engineering lifecycle. However, system reliability remains hindered by LLM hallucinations and error propagation across interacting agents. While semantic entropy provides a principled way to quantify uncertainty without ground-truth answers, current methods often rely on costly LLM-driven equivalence checks. In this...

    arxiv.org/abs/2606.09800 · PDF

  2. 02

    Autonomous Incident Resolution at Hyperscale: An Agentic AI Architecture for Network Operations

    Arun Malik

    cs.SE · cs.AI · cs.ET · cs.MA · cs.NI

    Cloud network infrastructure at hyperscale presents unique operational challenges where traditional human-driven incident response cannot keep pace with the volume, velocity, and complexity of failures. This paper presents an agentic AI architecture for autonomous incident resolution in large-scale network operations. Our system employs a multi-agent orchestration framework where specialized AI agents collaborate to detect, diagnose, and...

    arxiv.org/abs/2606.09122 · PDF

  3. 03

    Context Rot in AI-Assisted Software Development: Repurposing Documentation Consistency for AI Configuration Artifacts

    Christoph Treude, Sebastian Baltes

    cs.SE · cs.AI

    Developers increasingly provide AI coding assistants with persistent context through configuration files such as CLAUDE.md, AGENTS.md, and .cursorrules. These files describe code elements, architecture, and development conventions, forming the context that guides AI tool behavior across sessions. As software evolves, this context can become stale, a phenomenon we call context rot. While AI configuration artifacts are new, the underlying...

    arxiv.org/abs/2606.09090 · PDF

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