This page shows the most relevant public items for cs.SE, ranked by trend activity and review signal. Use weekly for fast changes, monthly for more stable patterns, and all-time for evergreen picks.
Paper • Nov 18, 2025 • arXiv • Ling Chen, David Wu, Yong Zhang
The migration of legacy codebases (e.g., COBOL, Fortran) to modern architectures is a notoriously slow, error-prone, and expensive human endeavor. We introduce 'AutoMigrate,' a persistent, multi-ag...
Paper • Jul 7, 2021 • arXiv • Mark Chen, Jerry Tworek, Heewoo Jun, Qiming Yuan, Henrique Ponde de Oliveira Pinto, Jared Kaplan, Harri Edwards, Yuri Burda, Nicholas Joseph, Greg Brockman, Alex Ray, Wojciech Zaremba, Ilya Sutskever, et al.
We introduce Codex, a GPT language model fine-tuned on publicly available code from GitHub, and study its Python code-writing capabilities. A distinct production version of Codex powers GitHub Copi...
Paper • Feb 25, 2026 • arXiv • Bo Li, Dan Hendrycks, Julian Thorne
As LLM agents are granted access to execute code, query databases, and interact with file systems, the risk of catastrophic failure or malicious exploit grows exponentially. We propose 'Agency Sand...
Paper • Dec 8, 2022 • Science • Yujia Li, David Choi, Junyoung Chung, Nate Kushman, Oriol Vinyals
Programming represents a complex problem-solving task that requires deep logic and algorithmic reasoning. We present AlphaCode, a system that writes computer programs at a competitive level. AlphaC...
Paper • Feb 21, 2026 • arXiv • Liu et al., Wang et al.
Current agents often utilize third-party tools (APIs, web browsers, databases) with full authority, creating a 'Tools-as-Attack-Vector' problem. We introduce 'Agency Sandboxing,' a software enginee...
Paper • Jan 19, 2026 • arxiv.org • Chen et al.
Despite recent advancements in Large Language Models (LLMs), complex Software Engineering (SE) tasks require more collaborative and specialized approaches. This concept paper systematically reviews...
Paper • Feb 20, 2026 • arXiv • Armando Solar-Lezama, Sumit Gulwani, Elena Rossi
The rapid adoption of natural language programming ('vibe coding') has democratized software creation but introduced unprecedented levels of technical debt and architectural instability. We propose...
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