What this is
CUE-Verse is the framework I use to keep infrastructure decisions, documentation, validation notes, and working context connected across the lab. It started with the way CUE-Lang made me think about schemas, validation, and configuration, but the current project is broader than a CUE-language codebase.
The implemented work is documentation, source-of-truth design, Git-backed review practice, repository planning, runbooks, validation checklists, inventory discipline, diagrams, and repeatable operating notes around the systems I actually run and rebuild.
Why it exists
I was trying to build the mental palace — the Greek philosophy version: placing terms, concepts, and layers so they could connect instead of piling up. That broke open while I was running lab projects, studying, and chasing too many technical threads at once. I needed a way to keep the reasoning attached to the infrastructure.
CUE-Verse is that connective layer. It gives me a place to record what a system is supposed to do, what actually exists, what was validated, what remains a plan, and which repository or workflow owns the next change.
Current state
CUE-Verse is applied most concretely through The Homelab. The lab provides the operational evidence; CUE-Verse provides the structure that keeps documentation, validation, and change authority understandable.
The current practice includes Notion and Obsidian for different access planes, Git-backed repositories for accepted artifacts, source-of-truth boundaries, runbooks, command/review workflows, validation records, and documentation that can survive beyond a single tool interface. I use Ansible, Bash, PowerShell, Docker Compose, Git, and configuration-as-code patterns where they have been implemented or validated.
Evidence boundary
CUE-Verse currently combines operational documentation practice with design work. I label target architecture as target architecture: self-healing operation, multi-site patterns, universal automation, production-grade high availability, and a complete CUE-to-infrastructure compiler pipeline remain future architecture unless I publish implementation evidence for them.
The distinction matters because the project is partly operational practice and partly design work. The public page should show the working framework and keep draft architecture labeled as draft architecture.
Next work
The next work is to keep extracting reusable patterns from the lab while preserving clear project boundaries: clearer authority records, better validation checklists, cleaner repository handoffs, and documentation that can explain the difference between current systems, validated experiments, rebuild work, and target architecture.
Related projects
- The Homelab is the operational environment where these documentation and validation practices are applied.
- Phred is a focused AI-infrastructure project that benefits from the same evidence and rebuild discipline.
- Userspace is the working environment for notes, repositories, prompts, and review boundaries.