Living abroad changed how I see the world and inspired my passion for travel and cultural exploration. I’ve since lived in Michigan, Warsaw, and London, and explored over 60 countries.
Full-Stack Testing
My experience includes frontend testing of user interfaces and backend testing of services, data handling, and application logic.
It’s more of a personal collection—random things I come across, resources worth remembering, and thoughts I might want to come back to later. Just a place to keep track of it all.
Overview This project is a beginner-friendly Kafka + Spring Boot example demonstrating an event-driven data pipeline. The application reads raw person data, sends it through Kafka, standardizes the data, and outputs the transformed result. The project is structured as a multi-module Maven project inside a single IntelliJ workspace. Architecture What the Project Does The processor service standardizes incoming data: Example Input { "firstName": "anna", "lastName": "kowalska"
What GitHub Copilot Adds to the Review Process Overview Code reviews are important—but they can be: Time-consuming Inconsistent Hard to follow (especially with large PRs) GitHub Copilot helps by acting like a review assistant , not a replacement. It: Speeds up reviews Improves consistency Gives better starting points What Copilot Actually Does in Reviews Instead of writing everything manually, Copilot helps you: Understand changes quickly Spot issues (including security risks
Your AI Workflow with GitHub MCP Server Overview GitHub MCP Server helps you connect AI (like Copilot) to your tools and workflows without complicated setup. Instead of configuring everything manually (Docker, tokens, configs), it gives you a ready-to-use bridge between AI and your development environment . Think of it as making AI actually usable everywhere—not just in your IDE. What is MCP? MCP (Model Context Protocol) is a standard that lets AI tools connect to external sy