Coding agents think ahead of time
A new research paper titled 'Latent Programming Horizons in Coding Agents' explores how AI coding agents can improve performance by planning ahead. The paper is hosted on the arXiv repository and includes various tools for academic citation and code exploration.
Why it matters
Advancements in autonomous coding agents could significantly accelerate software development cycles and change how developers interact with AI tools.
Focus to learn more arXiv-issued DOI via DataCite Submission history From: André Silva [ view email ] [v1] Mon, 6 Jul 2026 15:08:26 UTC (653 KB) Full-text links: Access Paper: View a PDF of the paper titled Latent Programming Horizons in Coding Agents, by Andr\'e Silva and 2 other authors View PDF HTML (experimental) TeX Source view license Current browse context: cs.LG < prev | next > new | recent | 2026-07 Change to browse by: cs cs.SE 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?
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