The authors have outlined-and successfully tested-a system of multiple AI agents interacting with each other as well as provided repositories to not only tackle complex software engineering tasks but also validate the outcomes on their own.
The role of humans, in their own words: 'transforms from manual actions and validation of AI suggestions to a supervisor overseeing multi-agent collaboration on tasks, with the option to provide feedback. Developers can monitor AutoDev's progress toward goals by observing the ongoing conversation used for communication among agents and the repository.'
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