The Autonomous AI Product Engineer

While some of the content can be easily understood by a technical audience, non-technical audiences will also get real value from it, in the speaker's own words. This talk breaks down how to run autonomous AI workflows in practice: sandboxing agents safely, sharing development toolchains across a team, managing codebase context, handling parallel AI tasks, and keeping long-running loops stable. It is not about replacing people. It is about showing how people can guide AI systems with clearer structure, tighter boundaries, and better feedback. Open to engineers, product people, founders, and anyone curious about where applied AI is headed.