Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/117943
DC FieldValueLanguage
dc.contributorDepartment of Data Science and Artificial Intelligence-
dc.creatorHuang, Beichen-
dc.date.accessioned2026-03-06T22:00:49Z-
dc.date.available2026-03-06T22:00:49Z-
dc.identifier.urihttps://ows.lib.polyu.edu.hk/s/ows/item/4646-
dc.identifier.urihttp://hdl.handle.net/10397/117943-
dc.language.isoEnglish-
dc.rightsAll rights reserved-
dc.subjectDecentralized Multi-Agent System-
dc.subjectAI Architectures-
dc.subjectDirected Acyclic Graphs-
dc.subjectPartial Order Theory-
dc.subjectAutomated Software Engineering-
dc.titleThe Evolutionary Breakthrough: EvoGit-
dc.typeFeature Story-
dc.typeOWS-
dcterms.abstractBeichen’s EvoGit is more than an award-winning research project; it is a tool creating real-world change. By treating code as an evolving organism, EvoGit uses decentralized agents to maintain and update software autonomously. After winning First Place at the AgentX Competition at UC Berkeley, Beichen immediately applied the framework to help his university, using it to automatically generate next-generation interactive slides for DSAI courses. This "win-win" solution saves professors time while ensuring students have the most up-to-date resources. Through this process, Beichen mastered complex math and the art of patience. His work envisions a future where AI documentation and code stay in sync autonomously, proving that university-led research can scale into global solutions that benefit society as a whole.-
dcterms.accessRightsopen access-
dcterms.issued2026-03-
dcterms.LCSHArtificial intelligence -- Computer programs-
dcterms.LCSHMultiagent systems-
dcterms.LCSHComputer programming-
dcterms.educationalLevelPhD-
Appears in Collections:Outstanding Work by Students
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