Articles & guides

Build a minimal Model Context Protocol server and connect it to Claude — how AI assistants call your tools and read your data, explained by building one.

Install Ollama, pull a model, and call it from code through the same API shape as OpenAI's — all running entirely on your own machine.

Python, the libraries you actually need, GPU vs. CPU decisions, and — most importantly — keeping API keys out of your Git history.

The extensions and Dev Containers setup that make VS Code feel purpose-built for Docker, Kubernetes, and polyglot projects.

Get a real test-on-every-push workflow running, then layer on secrets, caching, and matrix builds without the usual trial and error.

Run a real Postgres database and Redis cache locally in two containers, with data that survives restarts and credentials that stay out of Git.

Install Helm, deploy a published chart to your Minikube cluster, then package your own app the same way.

Install Terraform and run a real init/plan/apply workflow against a local example — no cloud account required to get started.

SSH keys, commit signing, and the global config every other guide on this site quietly assumes you already have.

Run a real single-node Kubernetes cluster on your laptop with Minikube, and deploy your first app to it with kubectl.

Get Docker installed and working correctly on macOS, Windows, and Linux, plus the handful of commands you'll actually use day to day.

pyenv for version management, virtual environments for dependency isolation — the two habits that prevent almost every Python setup headache.

Install Node.js the way that won't bite you later — with a version manager, sane global-package hygiene, and per-project version pinning.