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Plan for iterative improvement rather than expecting immediate perfection. AIO is still an emerging practice without definitive best practices etched in stone. You'll make mistakes, try things that don't work, and occasionally optimize for factors that turn out not to matter. This experimentation is part of the learning process. What matters is systematic iteration—trying approaches, measuring results, adjusting based on feedback, and gradually improving your effectiveness over time.
One theme reiterated throughout the session was that Linux ID is a technology stack, not a fixed policy. Different communities, from the core kernel to other Linux Foundation projects, will be able to choose which issuers they trust, what level of proof they require for different roles, and whether AI agents can act under delegated credentials to perform automated tasks like continuous integration or patch testing.