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The End of Code Review: Coding Agents Supersede Human Inspection

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The End of Code Review: Coding Agents Supersede Human Inspection
AI Summary

This academic paper by Martin Monperrus explores the potential for autonomous coding agents to replace human-led code review processes. It examines the shift toward automated inspection as AI capabilities in software engineering continue to advance.

Why it matters

If coding agents successfully replace human review, it could fundamentally transform software development workflows, significantly increasing velocity while raising new questions about security, accountability, and the role of human oversight in production code.

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Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Martin Monperrus [ view email ] [v1] Thu, 11 Jun 2026 10:43:48 UTC (62 KB) Full-text links: Access Paper: View a PDF of the paper titled The End of Code Review: Coding Agents Supersede Human Inspection, by Martin Monperrus View PDF HTML (experimental) TeX Source view license Current browse context: cs.SE < prev | next > new | recent | 2026-06 Change to browse by: cs References & Citations NASA ADS Google Scholar Semantic Scholar export BibTeX citation Loading... BibTeX formatted citation loading... Data provided by: Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer ( What is the Explorer? ) Connected Papers Toggle Connected Papers ( What is Connected Papers? ) Litmaps Toggle Litmaps ( What is Litmaps? ) scite.ai Toggle scite Smart Citations ( What are Smart Citations? ) Code, Data, Media Code, Data and Media Associated with this Article alphaXiv Toggle alphaXiv ( What is alphaXiv? ) Links to Code Toggle CatalyzeX Code Finder for Papers ( What is CatalyzeX? ) DagsHub Toggle DagsHub ( What is DagsHub? ) GotitPub Toggle Gotit.pub ( What is GotitPub? ) Huggingface Toggle Hugging Face ( What is Huggingface? ) ScienceCast Toggle ScienceCast ( What is ScienceCast? ) Demos Demos Replicate Toggle Replicate ( What is Replicate? ) Spaces Toggle Hugging Face Spaces ( What is Spaces? ) Spaces Toggle TXYZ.AI ( What is TXYZ.AI? ) Related Papers Recommenders and Search Tools Link to Influence Flower Influence Flower ( What are Influence Flowers? ) Core recommender toggle CORE Recommender ( What is CORE? ) Author Venue Institution Topic About arXivLabs arXivLabs: experimental projects with community collaborators arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.

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The content is a neutral summary of an academic paper submission, focusing on technical research rather than political or ideological commentary.

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