PlatformEngr®

platformengr · about

Platform engineering for the AI coding era

PlatformEngr helps software companies build the internal platform their developers and their AI agents ship on, and leaves their own team able to run it. We also publish the hands-on courses we train teams with, and certify engineers on the work they actually did.

What we do

We work with software teams that want a platform their developers can rely on: environments defined in code, deployments that go through Git, guardrails that keep teams apart, and a developer portal that shows who owns what.

  • Platform assessment. We review how you build, ship and run software today and give you a written report with a prioritised roadmap.
  • Platform foundation. Kubernetes, GitOps with Argo CD, CI/CD and guardrails, built in your cloud and your repositories.
  • Developer portal. A Backstage portal with your catalog, golden-path templates, docs and the plugins you need.
  • AI guardrails. An LLM gateway with budgets, an internal MCP server and permissions, so AI coding agents use your platform safely.
  • Fractional platform lead. A senior platform engineer a few days a month for roadmap, reviews and mentoring.
  • Team training. Your engineers work through our courses together, with an instructor.

We build with open-source tools, in code you own, and hand everything over with runbooks. We don’t host your platform or tie you to a product. See Services or talk to us.

Why we teach by building

Platform engineering is learned by running a platform, watching it fail and fixing it. So every course has you build something real in your own GitHub repository: an Argo CD setup, a fleet of clusters, a Backstage portal, a plugin. Many modules include something you break on purpose, and some ask you to write up what happened, the way you would after an incident at work.

The courses began as hands-on workshops we ran. People kept asking for the material afterwards, so we turned it into self-paced courses and put them online.

Why the courses are free to read

We’d rather you learn this properly than stop at a sign-up form. Nothing in the courses is gated, and you don’t need an account to follow them. You sign in when you want your progress saved and your labs checked.

Certification is different: it’s what we charge for, because it’s what an employer relies on. A certificate exam has a list price, and we give out vouchers that cover it in full. See Certificates.

The reference repositories behind the courses are public on GitHub, so learners see exactly what they’ll build, and teams can see how we work before they talk to us.

How we grade

A certificate should say what you can do, so ours are graded on your repository, not on a quiz about a tool.

  • We read, we don’t run. Lab checks and exams read the files in your repository. We never execute your code, run your scripts or install your dependencies.
  • Your scenario is yours. Each exam includes a scenario generated for you, with multiple-choice questions tied to it.
  • AI is one part, never the judge. A short written answer is graded by an AI model against a rubric. It’s one of three parts, and it can never pass an exam on its own.
  • No hosted labs. You run everything on your own laptop or cluster. That keeps the courses free and means you learn on the same tools you use at work.

Who we are

PlatformEngr® is a registered trademark of Qodoxo AB, a Swedish company. Write to us through the contact page.