Pomona: Continuous Code Quality Improvement via Small, Agentic Pull Requests at Bloomberg

[2606.06752] Pomona: Continuous Code Quality Improvement via Small, Agentic Pull Requests at Bloomberg Skip to main content Search Submit Donate Log in Computer Science > Software Engineering arXiv:2606.06752 (cs) [Submitted on 4 Jun 2026 ( v1 ), last revised 25 Aug 2026 (this version, v3)] Title: Pomona: Continuous Code Quality Improvement via Small, Agentic Pull Requests at Bloomberg Authors: David Williams , Angelos Evripiotis , Serkan Kirbas , Harry Morgan , Sergey Magidovich , Peter Wainwright , Federica Sarro View PDF HTML (experimental) Abstract: In this industrial experience paper, we present Pomona, a lightweight agentic tool that utilises agent skills for continuous code quality improvement. Inspired by the Kaizen (TM) philosophy, Pomona automates a cycle of discovery and incremental repair: a Scanning skill identifies tasks and prioritises them in a backlog, while a Repair skill generates small, easily reviewable pull requests (PRs). This design enables frequent, low-risk improvements while maintaining engineer trust and reducing technical debt. We evaluated Pomona at Bloomberg through a three-month team deployment and a questionnaire distributed to senior engineers. The results are promising: 32/39 PRs (82.1%) were merged with a median time-to-close of just over two hours. Moreover, 10/12 surveyed engineers expressed a desire to adopt Pomona, praising its small diff sizes and focus on code quality. Since our evaluation, another team has adopted Pomona. We conclude with actionable insights for deploying agents in industry. Comments: 6 pages, 2 figures, 1 table, camera-ready version accepted for the Industry Track at ISSRE'26 Subjects: Software Engineering (cs.SE) Cite as: arXiv:2606.06752 [cs.SE] (or arXiv:2606.06752v3 [cs.SE] for this version) https://doi.org/10.48550/arXiv.2606.06752 Focus to learn more arXiv-issued DOI via DataCite Submission history From: David Williams [ view email ] [v1] Thu, 4 Jun 2026 22:31:48 UTC (633 KB) [v2] Fri, 17 Jul 2026 18:23:28 UTC (672 KB) [v3] Tue, 25 Aug 2026 10:02:03 UTC (2,376 KB) Full-text links: Access Paper: 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 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. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs . Which authors of this paper are endorsers? | Disable MathJax ( What is MathJax? ) We gratefully acknowledge support from our major funders , member institutions , and all contributors. About · Help · Contact · Subscribe · Copyright · Privacy · Accessibility · Operational Status (opens in new tab) Major funding support from

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