Studying in the U.S. broadened my worldview and sparked a love for diversity and exploration. I’ve since lived in Michigan, Warsaw, and London—and traveled to 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.
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
Understanding and Enabling the GitHub Copilot Coding Agent Overview The GitHub Copilot Coding Agent is: An autonomous AI developer that works inside GitHub Unlike IDE assistants, it: Works in the background Creates pull requests Handles full development tasks What is the Coding Agent? Definition Table Aspect Description Type Autonomous development assistant Location Runs inside GitHub Behavior Works like a teammate Output Creates PRs with changes What It Does Instead of just