AI agents can write thousands of lines of code in minutes, but humans still review at human speed. This talk explores how to design agentic workflows for failure, fast iteration, and safe reversibility, and how FeatureOps turns runtime control into a superpower for AI-assisted shipping.
Today, producing 1,000 LoC is a sub-minute operation. Reviewing it will take at least 30–60 minutes, even for senior engineers. This gap is becoming the real constraint for teams of any size.
In this talk, we’ll focus on how to design agentic workflows where failure is expected and correctness is probabilistic. In practice, the challenge shifts toward bug containment, blast-radius reduction, and being able to reverse decisions in production without slowing your team down.
We’ll introduce FeatureOps as a way to give agents runtime control over how changes are exposed, making reversibility a first-class input to agent planning and execution of changes.
Alex is a software engineer passionate about web technologies and music. He began working on web projects and sharing his experiences in 2011.
His passion for programming spans different languages such as Python, JavaScript, and Rust, as well as the open-source world and startups.
After spending 6 years helping developers and companies adopt cloud technologies, Alex returned to the startup life to help engineers and architects adopt FeatureOps best practices.