The Beauty Index
26 programming languages ranked across 6 aesthetic dimensions. From Haskell's mathematical purity to PHP's industrial grit.
Explore rankings →Patryk Golabek
Cloud-Native Architect
Architecting resilient cloud-native systems and AI-powered platforms with 17+ years of hands-on engineering.
Patryk Golabek is a Cloud-Native Software Architect based in Ontario, Canada, with over 17 years of production engineering experience. A pre-1.0 Kubernetes adopter and former CTO, he maintains 20+ open-source projects spanning Kubernetes platforms, AI/ML agents, and developer tools.
Expertise
Cloud-Native & Kubernetes
Designing and operating production Kubernetes clusters since pre-1.0. Service meshes, GitOps, observability stacks, and multi-cloud deployments across GCP and AWS.
AI/ML Systems
Building LLM agents, RAG pipelines, and intelligent automation with LangGraph, Langflow, and custom orchestration. From prototype to production-grade AI systems.
Platform Engineering
Infrastructure as Code with Terraform and Terragrunt. CI/CD pipelines, DevSecOps practices, and developer experience tooling that keeps teams moving fast.
Full-Stack Development
Python, Java, TypeScript. React, Angular, Next.js. APIs, microservices, and data pipelines — end-to-end delivery from frontend to backend.
Reference Guides
Database Compass
Compare 12 database models across 8 dimensions. From key-value simplicity to multi-model complexity.
Explore models →EDA Visual Encyclopedia
Interactive visual reference for Exploratory Data Analysis covering graphical techniques, quantitative methods, probability distributions, and case studies.
Explore techniques →
Production Chassis FastAPI Production Guide
13 chapters covering middleware, authentication, observability, database, Docker, testing, and more. Everything your AI agent inherits.
Read the guide →Claude Code Guide
Zero to HeroClaude Code Guide
14 chapters from first agentic interaction through multi-agent orchestration. Skills, hooks, MCP, worktrees, plugins, the Agent SDK, and enterprise security.
Read the guide →AI Landscape Explorer
Visual guide to artificial intelligence — from machine learning fundamentals to generative AI, agentic systems, and developer tools.
Explore the landscape →Tools
Dockerfile Analyzer
Paste your Dockerfile, get instant best-practice feedback. Dozens of rules across security, efficiency, and maintainability. 100% client-side.
Try it →Docker Compose Validator
Validate docker-compose.yml files against 52 rules across security, semantic, and best-practice categories. Dependency graph, scoring, and shareable results. 100% client-side.
Try it →Kubernetes Manifest Analyzer
Analyze Kubernetes manifests against 67 rules covering schema, security, reliability, and cross-resource validation. PSS compliance, RBAC analysis, and resource graph. 100% client-side.
Try it →GitHub Actions Validator
Validate GitHub Actions workflows against 48 rules across security, semantic, best practices, and style categories. Two-pass analysis with actionlint WASM. 100% client-side.
Try it →Latest Writing
Claude Code Guide Refresh: 14 Chapters, 3 New Topics, Updated Cheatsheet
The Claude Code Guide is now 14 chapters covering Plugins, Agent SDK, Computer Use, plus major rewrites across every existing chapter. Here is what changed and why it matters.
Making Sense of the AI Landscape: A Visual Guide for Everyone
A visual guide to understanding artificial intelligence in 2026. 51 key concepts organized into 9 clusters, from machine learning basics to generative AI and agentic systems — explained for non-technical readers.
The Context Window Is the Product
Most developers treat Claude Code as a chat box with tools. The ones who get 10x results treat the context window as a product they design. A practitioner's guide to 11 chapters on mastering Claude Code, from first agentic interaction through multi-agent orchestration.
Interested in working together?
I'm actively looking for my next role in cloud-native architecture, AI/ML systems, or engineering leadership. Whether you're hiring, want to collaborate on open source, or just want to talk frontend, backend, DevOps, programming languages, or anything software — I'd love to hear from you.