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2 events,
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Owning your AI stack isn't just about ideology, it's about building systems you can actually trust and understand. This workshop shows how to run your own AI agents in practice, relying on open source code and models. Through concrete examples (and some inevitable failures) it will explore what distinguishes open source agents from commercial services,…
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Needing to reach performance parity with closed source frontier models is the prevailing north star for open source AI - and this is an important goal! Here, John Dickerson, CEO of Mozilla.ai, makes the case for a different north star: ease of use. Open source AI can win if it becomes dead easy to use,… |
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For longer-running projects, AI-assisted development needs a repeatable workflow: how work is planned, what context is loaded, what gets documented, how progress is reviewed, and how the next session continues without starting from zero. The recurring challenges are context management, documentation, and orientation. Maintaining quality as projects grow requires treating the workflow itself as an… |
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