Abstract
As more code is generated, much of it using artificial intelligence (AI), human code reviews are increasingly critical. Traditional code-review tools provide a description, comments, and a flat code diff but little guidance about review order or attention. This proposal introduces a system that guides a code reviewer by organizing a pull request (PR) as a "story," making it easier to build mental context while keeping the reviewer in control.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Garit, Florent; Manickam, Sindhuja; Pandey, Rohan; Henle, Adrian; Sivananthan, Ahrenn; Rajesh, Akila; Tungatkar, Gaurav; Sbors Neto, Laurentino; Bai, Lulu; Tran, Michael; and Tiwari, Prakhar, "ENHANCED CODE REVIEWS THROUGH INTELLIGENT CODE DIFF ORDERING AND TAGGING", Technical Disclosure Commons, (August 24, 2026)
https://www.tdcommons.org/dpubs_series/11460