In this episode we discuss whether AI and LLMs are changing the role of open source, including the pressure on maintainer review queues and the growing appeal of private forks and internal maintenance. We also talk about the security tradeoffs of those forks, especially around visibility, dependency tracking, and audits. We also get into how domain expertise, documentation, interfaces, and operational knowledge may become more important than the code itself, and why documenting archival knowledge and provenance matters.
Transcript: otter.ai/u/h61DNW_fV-5QrNBepX…?utm_source=copy_url