Lately, I have found myself looking at an AI-generated pull request and thinking, “This is impressive… but do I trust it?” AI assistants can now turn a vague idea into an implementation, tests, and documentation before I’ve even finished my morning coffee. Writing code is no longer necessarily the hardest part: the real challenge is often understanding it, validating it, and maintaining it over time. In this roundtable, we will compare how our teams are adapting to the AI era. Does an engineer need to understand every generated line before submitting it? What evidence should we look for before approving an AI-generated PR? Can low-risk work take a faster path through review? Can we safely ask one AI to review another AI’s output? And how do we prevent experienced engineers from becoming the bottleneck? This will also be an opportunity to talk through everyone’s AI stack: the models, agents, prompts, context files, MCP servers, automated checks, and review workflows we actually use day to day. We will compare what works, what creates more work than it saves, and where human judgement still makes the difference, so everyone leaves with practical ideas for improving how their team reviews and owns AI-assisted code.

For years, saying “I’m an Android developer” felt like choosing a clear career path: learn the platform, level up your Kotlin skills, and ship applications used by billions. In 2026, the career map feels less obvious. The rise of AI has changed everything. Mobile apps are not going away, but the role of the mobile developer is evolving rapidly. Is deep mobile expertise still enough, or do we need to rebuild our entire skill set? This panel brings together mobile engineers and engineering leaders to discuss whether focusing on Android remains a strong career choice, how AI is changing both junior and senior roles, and which skills become more valuable as writing code itself becomes a commodity. Rather than predicting the extinction of mobile developers, we will have an honest conversation about how the profession is evolving. Panelists will share career choices, wrong turns, and lessons learned in the age of AI, helping attendees decide how to move their careers forward.