From local robot simulation to a cloud-coordinated service
What I learned building an AWS-hosted coordination service for remote robot simulation: reproducible workers, inspectable results, and updates that can recover when something goes wrong.
Notes
Products, architecture decisions, open-source contributions, and lessons from shipping.
Archive
9 posts covering software products, AI, open source, and engineering systems.
What I learned building an AWS-hosted coordination service for remote robot simulation: reproducible workers, inspectable results, and updates that can recover when something goes wrong.
How Omarchy, Herdr, terminal tools, touch typing, and dictation changed the feel of my daily development work, from my laptop to remote servers and robots.
My conversation with Edison Smart for The Edison Edge on what it takes to move Physical AI beyond a compelling demo and into reliable real-world operation.
How separate personal and work knowledge systems make AI agents more useful while keeping context, permissions, and confidential information safely bounded.
How a collision mesh workflow I needed became a merged contribution to URDF Kitchen, and why contributing improvements back matters.
A tiny macOS menu-bar app that came out of a week of agentic robotics workflows and turns ordinary keystrokes into piano notes.
At the Google DeepMind Hackathon Chicago 2026, I built Amdion's macOS desktop app and integrated its AI features, activity graph, and action recorder.
How GitHub Copilot helped improve this blog by converting posts to markdown and streamlining the development process.
This website/blog comes from my continuous interest in learning new technologies and sharing my experience in the hopes of it being beneficial for any reader.