Tools and hardware I use every day.

The hardware, software and development tools I rely on for building distributed systems and platform infrastructure.

Workstation

MacBook Pro, M4 Max, 64GB RAM

Runs multiple Kubernetes clusters via kind, compiles Go projects instantly, and handles everything from Docker builds to video calls without throttling.
ZSA Voyager

Split ergonomic keyboard with columnar stagger. Custom layers for coding, navigation and window management. Portable enough to take everywhere.
Apple Magic Trackpad

Three-finger swipe between desktops is the fastest way to switch context between terminal, browser and editor.

Helix

Modal editor with built-in LSP support and tree-sitter. No plugins to manage, gopls integration works out of the box. Selection-first editing model beats Vim's verb-noun approach for refactoring.
Warp + zsh

Block-based terminal with built-in command grouping. Split panes for running the dev server, tests and git operations side by side.

Go

Primary language for everything backend: HTTP services, Kubernetes controllers, CLI tools, gRPC services. Stdlib first, dependencies only when they earn their place.
TypeScript / React

For frontends and internal dashboards. Next.js or Vite depending on whether SSR matters. Tailwind CSS for styling.
Ruby / Rails

Years of production Rails experience — biometric data platforms, internal tooling, CMS modules. Still the fastest way to prototype a full-stack app.
PHP

Built hosting platforms, fitness management software and CMS systems. Platform work on AWS/EKS enabling self-service PHP deployments.
Python

Scripting, automation and document generation. Quick prototyping when Go would be overkill.

Kubernetes

Custom controllers with Kubebuilder, CRDs for workflow management, bare-metal and cloud clusters. On-premise with CRI-O, cloud on EKS and AKS.
AWS / GCP / Azure

AWS is the default. CDK and CloudFormation for IaC, EKS for compute, S3 for storage. GCP for specific workloads. Azure when the client requires it.
Terraform / CDK

Terraform for multi-cloud and shared modules. AWS CDK when staying within the AWS ecosystem and wanting type-safe constructs.
GitHub Actions

CI/CD for everything. Container builds, Go tests with Ginkgo, infrastructure deployments, CV generation. Self-hosted runners when builds need cluster access.

Taskfile

YAML-based task runner. Replaces Makefiles without the arcane syntax. Every project gets a Taskfile with build, test, dev and deploy targets.
Ginkgo / Gomega

BDD-style Go test framework. Table-driven tests with DescribeTable, async assertions with Eventually, and real fixtures instead of mocks.
gopls

Go language server. Symbol navigation, diagnostics, references and rename across the entire workspace. Pairs with Helix for a lightweight but capable Go IDE.
Docker / kind

Local Kubernetes clusters with kind for controller development. Multi-stage Docker builds for minimal production images — this site runs on a 15MB distroless container.