AI that fits real work
Turning models and agents into useful collaborators inside familiar engineering workflows—with context, boundaries, and a clear path to action.
I build dependable software and automation that helps people, teams, and intelligent tools move from intention to outcome.
michael.zabka
The direction
Recent work points toward a practical question: what can be made more capable, observable, and safe to run?
Turning models and agents into useful collaborators inside familiar engineering workflows—with context, boundaries, and a clear path to action.
Designing services that recover predictably, explain what happened, and keep moving without hiding complexity or failure.
Current focus
A concise view of the most recent trajectory, without the project list.
Multi-provider model access, agent runtimes, developer interfaces, and the connective tissue that makes intelligent tools practical.
Orchestration that can coordinate work, handle cancellation and failure, and keep humans in control of important decisions.
Clearer lifecycles, safer deployments, stronger observability, and infrastructure that turns repeated effort into a reusable capability.
A longer arc
Years of work across software, devices, services, and infrastructure now converge on one theme: reduce friction between a good idea and a dependable result.
“The best automation does not replace judgment. It gives judgment better reach.”Michael Zabka · Prague
Open channel
Find the public work and current signals online.