Mike Vizard talks with Stephen Chin of Neo4j about why AI is more likely to strengthen open source software than replace it. Chin explains that open source projects provide the shared foundations, security review and community requirements gathering that AI-generated code alone cannot easily replicate. The conversation also explores faster contribution cycles, maintainer bottlenecks, AI-assisted DevOps, software quality and the need to train the next generation of developers to use AI tools effectively.
Up Next in OSS 2026 Minneapolis
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AI Agents Ease Open Source Maintainer...
Mike Vizard talks with Madelyn Olson of AWS and the Valkey project about how AI agents can help open source maintainers handle growing contribution volumes. Olson explains that maintainers are using AI to backport fixes, triage pull requests, support older releases and manage repetitive work so t...
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CD Platforms Adapt to AI-Driven DevOp...
Mike Vizard talks with Nikunj Doshi about how continuous delivery platforms are adapting as AI changes software development and DevOps workflows. Doshi explains that open source projects such as Jenkins, CDEvents and Ortelius remain important foundations for software delivery, supply chain securi...
