# K8s Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/k8s
> Markdown URL: https://aitinkerers.org/technologies/k8s.md
> Technology record last updated: 2026-02-25T06:02:15Z
> Generated: 2026-09-21T22:44:10Z

K8s is the open-source industry standard for automating the deployment, scaling, and management of containerized applications at scale.

Originally built by Google and now managed by the CNCF (Cloud Native Computing Foundation), K8s orchestrates clusters of virtual or physical machines (nodes) to run containerized workloads. It handles the operational heavy lifting: service discovery, load balancing, and automated rollouts. If a pod fails, K8s restarts it: if a node goes down, it reschedules the work elsewhere to maintain your desired state. You define the infrastructure via declarative YAML files, and the control plane ensures your production environment stays stable under heavy traffic.

- Official technology site: https://kubernetes.io
- Public AI Tinkerers demos and talks: 4
- Result page: 1 of 1

## Recent Public Talks and Demos

### [Linear agent](https://valencia.aitinkerers.org/talks/rsvp_mjy8OwW4wKI)

The Linear agent helps builders move faster. It has evolved from an initial trial 3 years ago that we never shipped to an intelligent product manager that does a lot of heavy lifting for you.

- Event context: AI Tinkerers Valencia June Meetup ft. PostHog — 2026-06-16 — Valencia
- Public talk page: https://valencia.aitinkerers.org/talks/rsvp_mjy8OwW4wKI

### [Easy self-serve Ray Clusters on Kubernetes, no YAML.](https://montreal.aitinkerers.org/talks/rsvp_8YtgDaZMryo)

Krayne, a lightweight CLI, Python SDK, and interactive TUI that provisions self-serve Ray clusters for AI researchers who dislike wrestling with Kubernetes manifests. For the demo, I will show how to bypass K8s YAML entirely to instantly bootstrap a Ray cluster using a simple command or through our interactive terminal interface. Then, I’ll peek under the hood to show the actual technical implementation: how the tool translates these simple inputs into the complex KubeRay Custom Resources and API calls required to orchestrate the pods behind the scenes. Lastly, I will demo a simple GPU workload running on Ray, in the cloud.

- Event context: AI Tinkerers Montreal - May Demo Meetup @ Ubisoft — 2026-05-26 — Montreal
- Public talk page: https://montreal.aitinkerers.org/talks/rsvp_8YtgDaZMryo

### [Self-serve Ray clusters for researchers who dislike kubernetes YAML](https://montreal.aitinkerers.org/talks/rsvp_CL9_5lbPlTc)

Krayne, a lightweight CLI, Python SDK, and interactive TUI (ikrayne) that provisions self-serve Ray clusters for AI researchers who dislike wrestling with Kubernetes manifests. For the demo, I will show how to bypass K8s YAML entirely to instantly bootstrap a Ray cluster using a simple command (krayne create) or through our interactive terminal interface (ikrayne). Then, I'll peek under the hood to show the actual technical implementation: how the tool translates these simple inputs into the complex KubeRay Custom Resources and API calls required to orchestrate the pods behind the scenes.

- Event context: AI Tinkerers Montreal - April Demo Night — 2026-04-22 — Montreal
- Public talk page: https://montreal.aitinkerers.org/talks/rsvp_CL9_5lbPlTc

### [Cloud-Hosted, Multi-Agent Workspaces (or: Gas Town in the Sky)](https://seattle.aitinkerers.org/talks/rsvp_mVgQoXtoVzE)

A live walkthrough of a multi-agent software development loop in the cloud: Head of Engineering (agent) receives a request from Discord, writes the code, opens a PR, goes to Head of Infra to deploy, and then finally hands the change to Head of QA for review and merge, all without any intervention from the user. The presentation will cover how I created the best way to make easy, configurable, multi-agent workspaces without the infrastructure hassle or security risks of self-hosted solutions. This includes setting up persistent, isolated workspaces, configurable prompts and variables, cross-agent messaging, and deep session analytics, all managed through a custom-built MCP server and my local Claude Code. In addition, throughout the demo I'll share exciting developments I've seen so far in terms of emergent behavior, cross-agent coordination, and workspace management.

- Event context: AI Tinkerers Seattle Meetup: Dev Tools Track — March 9th, 2026 — 2026-03-10 — Seattle
- Public talk page: https://seattle.aitinkerers.org/talks/rsvp_mVgQoXtoVzE

## Related Technologies

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- [Kubernetes Python API Client](https://aitinkerers.org/technologies/kubernetes-python-api-client) ([Markdown](https://aitinkerers.org/technologies/kubernetes-python-api-client.md)) — 1 public demo
- [Linear](https://aitinkerers.org/technologies/linear) ([Markdown](https://aitinkerers.org/technologies/linear.md)) — 9 public demos
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