Automated Code Review

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3 papers in the last four weeks, against 1 the four weeks before. 0.0% of all new papers.

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  1. A Case Study in Assuring AI-Written Software

    Oct 6, 2026Lindsey Ferris, Sierra BonillaAI Agent ReliabilityAI Assurance

    Independent Researcher · University College London London, United Kingdom

  2. When Does a Second Model Help? Cross-Model Review in LLM Verification

    Oct 1, 2026Tae-Eun SongLLM EvaluationLanguage Model Error Detection

    Daejeon Jungang Cheonggua Co., Ltd.

  3. Groundability, Not Scale Alone: When Weak Reviewers Can Audit Strong Coding Agents

    Oct 1, 2026Junyu Guo, Shangding Gu, Ming Jin +1AI Agent AuditingCode Generation Evaluation

    University of California, Berkeley · Virginia Tech

  4. CRJudgeBench: Can AI Detect Plausible but Invalid Code Reviews?

    Sep 29, 2026Yue Pan, Jiawei Li, Ziyuan Zhang +2LLM EvaluationLLM-as-a-Judge

    University College London · Amazon · Zhejiang University

  5. Activation Probes Surface Code-Security Signals that the Model's Output Misses

    Aug 10, 2026Ivan WiryadiLLM AuditingSoftware Vulnerability Detection

    Independent.

  6. When Policies Change Probabilities: Modular Decision-Making for LLM Code Review

    Aug 2, 2026Rasvik Kudum, Max Corbett, Hitansh Paliwal +3LLM EvaluationLLM Decision-Making

  7. From Code Review to Code Critique: Intent, Drift, and Spotlight for AI-Generated Diffs at Scale

    Jul 31, 2026Chandra Maddila, Mashrur Rashik, Euna Mehnaz Khan +4Automated Code ReviewAI-Assisted Software Development

    Meta, USA · †Concordia University, Montreal, Canada

  8. Evaluating the Impact of Explainable AI on Trust in AI-Assisted Code Review

    Jul 27, 2026Zhenhan Gao, Marvin Muñoz Barón, Umm-e Habiba +2Explainable Artificial IntelligenceAutomated Code Review

    Technical University of Munich, Heilbronn, Germany · University of Hohenheim, Hohenheim, Germany

  9. Code Monitor Red Teaming for Public-Test-Passing Code

    Jul 23, 2026Junchi Liao, Jiawen Deng, Fuji RenLLM AuditingCode Generation Evaluation

    University of Electronic Science and Technology of China Chengdu, China

  10. Cross-Model LLM Code Review: Should you use Claude to review Codex or vice versa?

    Jul 22, 2026Zuodong Xiang, Yike Zhang, YueMing Zhang +1Code Generation EvaluationAutomated Code Review

    University of California, Davis USA · Johns Hopkins University USA · California State University, Long Beach USA

  11. They'll Verify. They Just Won't Act. How Authority Framing and Laundered Code Turn a Trusted Agentic CI/CD Pipeline Into an Attack Surface

    Jul 21, 2026Yohann SidotLLM Agent SecurityIndirect Prompt Injection

    Senthex Research

  12. Is Agentic Code Review Helpful? Mining Developers' Feedback to CodeRabbit Reviews in the Wild

    Jul 3, 2026Hong Yi Lin, Mingzhao Liang, Kla Tantithamthavorn +1Automated Code Review

    The University of Melbourne, Melbourne, Victoria, Australia · Monash University, Melbourne, Victoria, Australia

  13. A Preliminary Study on Explaining Risk of Code Changes using LLM-Based Prediction Models

    Jul 2, 2026Yalin Liu, Kosay Jabre, Rui Abreu +10Automated Code Review

    Meta Platforms, Inc. · Concordia University

  14. Steerability via constraints: a substrate for scalable oversight of coding agents

    Jul 2, 2026Thomas WinningerScalable OversightCoding Agents

    Télécom SudParis, Évry-Courcouronnes, France · ENS Paris-Saclay, Gif-sur-Yvette, France

  15. When AI Reviews Its Own Code: Recursive Self-Training Collapse in Code LLMs

    Jun 26, 2026Xinyuan Song, Zekun Cai, Liang ZhaoSelf-TrainingModel Collapse

    Emory University, Atlanta, GA, USA · The University of Tokyo, Tokyo, Japan · LocationMind, Tokyo, Japan

  16. SEVRA-BENCH: Social Engineering of Vulnerabilities in Review Agents

    Jun 11, 2026Rui Melo, Riccardo Fogliato, Sean Zhou +2Software Vulnerability DetectionAI Agent Security

    1Carnegie Mellon University · 2Microsoft Core AI · 3Independent Researcher +1

  17. Automating Low-Risk Code Review at Meta: RADAR, Risk Calibration, and Review Efficiency

    May 28, 2026Chris Adams, Arjun Singh Banga, Parveen Bansal +28Automated Code ReviewAI-Assisted Software Development

    Meta · USA, UK, Canada

  18. Beyond Summaries: Structure-Aware Labeling of Code Changes with Large Language Models

    May 25, 2026Bar Weiss, Antonio Abu-Nassar, Adi Sosnovich +1Automated Code Review

    Viterbi Faculty of Electrical and Computer Engineering Technion, Haifa, Israel · IBM Research Haifa, Israel

  19. Philosophical Dispositions as Behavioral Constraints for AI-Assisted Code Review: An Empirical Study

    May 21, 2026Kaushal BansalPersona PromptingAutomated Code Review

    Salesforce, Inc. San Francisco, CA, USA

  20. Rethinking Code Review in the Age of AI: A Vision for Agentic Code Review

    May 17, 2026Hüseyin Özgür Kamalı, Erdem Tuna, Vahid Haratian +1Agentic WorkflowsAutomated Code Review

    Department of Software Engineering Ankara University Ankara, Turkey · Microsoft Ankara, Turkey · Department of Computer Engineering Bilkent University Ankara, Turkey

  21. MathlibPR: Pull Request Merge-Readiness Benchmark for Formal Mathematical Libraries

    May 8, 2026Zixuan Xie, Xinyu Liu, Shangtong ZhangLLM EvaluationLLM Agent Evaluation

    University of Virginia

  22. MOSAIC-Bench: Measuring Compositional Vulnerability Induction in Coding Agents

    May 5, 2026Jonathan Steinberg, Oren GalLanguage Model Safety EvaluationAI Coding Agents

    Swarms & AI Lab (SAIL), University of Haifa

  23. PERSA: Reinforcement Learning for Professor-Style Personalized Feedback with LLMs

    May 1, 2026Ravi Ranjan, Utkarsh Grover, Xiaomin Lin +1Automated Code ReviewRL from Human Feedback

    Florida International University (FIU), Miami, USA

  24. Understanding the Limits of Automated Evaluation for Code Review Bots in Practice

    Apr 27, 2026Veli Karakaya, Utku Boran Torun, Baykal Mehmet Uçar +1LLM-as-a-JudgeHuman-in-the-Loop Evaluation

    Bilkent University Ankara, Turkey · Beko İstanbul, Turkey

  25. AI-Assisted Code Review as a Scaffold for Code Quality and Self-Regulated Learning: An Experience Report

    Apr 25, 2026Eduardo Oliveira, Michael Fu, Patanamon Thongtanunam +2Generative AI in EducationHuman-in-the-Loop AI

    The University of Melbourne Melbourne, Australia · University of Eastern Finland Joensuu, Finland

  26. Refute-or-Promote: An Adversarial Stage-Gated Multi-Agent Review Methodology for High-Precision LLM-Assisted Defect Discovery

    Apr 21, 2026Abhinav AgarwalSoftware Vulnerability DetectionLLMs for Cybersecurity