Kevin Galligan

Join this unconference-style session designed for interactive group discussion. Whether you want to share your insights or simply learn from others, everyone is welcome in this community-driven learning experience. With Kotlin Multiplatform (KMP) and Flutter proving their long-term viability, mobile leaders must navigate the intersection of cross-platform and native development. This session will analyze the strengths and limitations of cross-platform approaches and provide guidance on structuring mobile projects to leverage both paradigms effectively. > How can cross-platform and native development coexist within the same project or company? > What are the primary advantages and trade-offs of cross-platform solutions compared to native? > What types of apps or features benefit most from a cross-platform approach? > How have KMP and Flutter evolved beyond past expectations, and what does that mean for long-term strategy?

AI coding tools have had some of the most wild hype to ever emerge from Silicon Valley, which is no small feat. From the native mobile world, this has all seemed very distant, and easy to pass off as just hype. But, native mobile is mostly locked to specific IDEs, largely untouched by these tools until recently. There is a lot of hype, but there is a lot of reality, and it goes way beyond chat and verbose auto-complete. Native mobile is also unique, with separate apps doing basically the same things. That makes native mobile both largely overlooked, and uniquely positioned to benefit from these tools. Technical topics we'll cover: * The state of models today, and where they might go in the future * Agent tools * What you can do with AI beyond "it helps write tests" * The rapid rise of open-source tools directly competing with the commercial "household names" Moblie topics: * AI is amazing at "porting code". Making Swift from Kotlin and vice-versa * How that might impact native dev * How that might change the cross-platform vs native calculus * AI tools enable productive dev in unfamiliar languages and ecosystems (and how that should impact "platform silos") We've been integrating AI tools at all levels of work, and recently completed an iOS to Android port, mostly automated, in a fraction of the time the client estimated the project to take. Lots of hype, but lots of real utility. Far from replacing developers, developers can get the most out of them. As time goes on, they will be as essential as IDEs and source control. And it's all coming to the mobile ecosystem very soon.

Join this unconference-style session designed for interactive group discussion. Whether you want to share your insights or simply learn from others, everyone is welcome in this community-driven learning experience. AI coding assistants have been hyped as game-changers for software engineering, but how effective are they in practice? This session provides a reality check on current AI coding tools, analyzing what works, what doesn’t, and how these tools impact software development workflows. You'll get a chance to discuss best practices, challenges, and the future trajectory of GenAI in software development with your peers and examine: > What is the current state of AI coding assistants? >How are AI coding assistants improving developer productivity? > What AI tools are effective for software development today, which ones are disappointing? > What are the future trends and implications of AI-driven software development? > What are the implications for cross-platform development?