Developer infrastructure
Shipyard
A fleet of isolated AI development environments accessible from anywhere through a private network.
- Audience
- Developers running autonomous or parallel AI-assisted work
- Role
- Architect and builder
The problem
Autonomous coding needed isolation without sacrificing access.
Long-running agents could change dependencies, files, and system configuration while the developer was away. Running several projects in parallel increased the risk of contaminating the host and made remote supervision difficult.
The solution
Each project became an isolated, remotely accessible ship.
I built a fleet of containerized development environments preconfigured for AI-assisted coding. Each environment could be reached securely over a private network from a laptop, tablet, or phone while keeping experimental work away from the host system.
Outcomes
The result was a change in operating capacity.
These outcomes describe what this implementation made possible. They are not generic product promises.
Enabled multiple parallel AI development environments without polluting the host machine.
Made isolated coding environments accessible from mobile and desktop devices.
Supported safer unattended agent work inside explicit container boundaries.
How it worked
The architecture followed the work.
The system was organized around an operating sequence people could understand, govern, and improve.
Provision
Create a project-specific container with the required coding tools.
Connect
Reach the environment from an authorized device over the private network.
Operate
Run autonomous or supervised development within the isolated boundary.
Parallelize
Use separate ships for independent projects and experiments.
My contribution
I designed Shipyard to make experimentation safer and more available.
The project combined container architecture, private networking, and AI development workflows into a practical environment I could use from anywhere without turning the host into the experiment.
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