What if scaling AI isn't about better models, but better human connection? Learn how a large U.S.-based financial services firm achieved 94% GitHub Copilot adoption and 78% agent-written code by combining grassroots engagement, storytelling, and innersource, making AI something developers wanted to use and build together. This session shares how treating AI adoption as a people challenge drives trust, plus how to measure meaningful adoption through impact.

Open source isn't dying. It's being stress-tested in ways nobody anticipated, now that AI has made it easier than ever to ship code. In this session, leaders from open source foundations share why AI is keeping open source critical, how maintainers are handling the surge in AI-assisted contributions, and how governance structures built for human contributors are shifting. You'll leave with a clearer view of how to manage code quality, contributor trust, and community health as AI becomes part of the development process.

With AI tools now generating functional output in seconds, the challenge is no longer writing code but understanding what was made. Drawing from their work teaching creative coding at USC and leading the open-source p5.js community on GitHub, Qianqian Ye explores why sketching and thinking in code is essential for working with AI. John Maeda joins the conversation with insights on where design, computation, and creativity fit in the age of AI. You'll learn how to build intuition that shapes systems, plus ways to interpret, adapt, and experiment with AI outputs while preserving exploration.