Reliable agent systems
Why agent orchestration, supervision, observability, and recovery matter after the demo works.
I speak about reliable agent systems, Elixir, open source, and the leadership practices that help technical teams do ambitious work.
Available for selected conferences, podcasts, panels, and engineering leadership sessions.
Why agent orchestration, supervision, observability, and recovery matter after the demo works.
What actor-model systems and OTP can teach us about building concurrent, long-running agent workloads.
How teams can redesign work around AI while keeping human judgment, ownership, and useful measures.
Practical lessons on context, decentralized command, direct feedback, and Extreme Ownership.
Lessons from open source, jQuery, startups, enterprise platforms, blockchain, Elixir, and AI agents.
How to turn a useful technical idea into understandable tools, shared standards, and a contributor community.
Recent conversations to listen to or watch.
A conversation about the path to Elixir and the design of Jido as an autonomous agent framework.
A technical discussion of agent architecture, signals, supervision trees, and the future of agent-driven software.
A deep dive into model-provider differences, streaming, tool calls, structured output, and the Elixir AI ecosystem.
Selected entries from the archive.