GitHub Copilot Zero to Hero Full-Stack Masterclass in VSCode

Build a contract-first restful API with OpenAPI and Swagger, then implement Python Flask, ExpressJS, and Java Spring Boot APIs while installing Java, Python, Node, Maven, and Gradle.

Install python on windows by downloading the standalone installer from python.org, run it with admin privileges, add python to the path, and verify with PowerShell using python --version.

Install Java quickly on Windows using Adoptium Temurin JDK 25 via the MSI installer, set java home and path, then verify with java --version.

Verify Java is installed, download Apache Maven from apache.org, extract the bin, add Maven to path, restart PowerShell, and verify with mvn --version.

Explore a contract-first REST API approach by prompting GitHub Copilot to generate Express, Flask, and Spring Boot implementations from an OpenAPI spec, then test the add method across ports 8081–8083.

Create an Angular single-page calculator UI that consumes an OpenAPI.yaml contract and enables switching between Flask, Express.js, and Spring Boot back ends at runtime, changing themes without altering behavior.

Learn to create a reusable GitHub Copilot prompt to reconfigure ports, scan 5000–5099, and update Flask config and open api yaml.

Create a GitHub Copilot hook that runs on session end to refresh calculator UI and update Angular app with Express, Flask, and Spring Boot ports, rebuild, redeploy, and restart server.

Create a Copilot skill in VS Code by adding a .github/skills/ folder with a skill.md front matter file, detailing restful design rules—nouns for endpoints, clear parameter names, and per-endpoint methods.

Leverage GitHub Copilot skills to design and build a contract-first RESTful API with openapi.yaml, defining calculator endpoints like sum, difference, product, quotient, and remainder, and clear return types.

Explain how to implement restful APIs with fastify, micronaut, and fastapi from an openapi yaml prompt, and design a minimal web components front end to test multi-stack services.

Explore using the frontend design skill to build a production-grade rest client with web components, featuring bold retrofuturistic aesthetics, accessibility, and a lightweight html, css, and javascript stack without frameworks.

Explore how prompts, skills, and instructions power GitHub Copilot, enabling refined requests, specialized capabilities like building a React app or RESTful API, and continuous steering via an instructions file.

Demonstrate building a rock, paper, scissors full-stack web app in planning mode, with a rest api, ui, database persistence, health endpoints, and openapi support.

Examine how GitHub Copilot selects technologies by building a rock‑paper‑scissors app, review the H2 database choice, Java versions, and OpenAPI tooling, and learn to steer LLMs with instruction files.

Steer LLM tools toward Node with a copilot-instructions file, outlining a TypeScript shop using Node and Vue, npm, HTML and JavaScript for the frontend, with an Express backend and Squealite.

Demonstrate how GitHub Copilot instruction files steer code generation from a Spring Boot with H2 to SQLite and Node.js Express, then guide Django with Python and SQLite.

Build a Jakarta EE and Eclipse MicroProfile Java app with Open Liberty, integrating H2 persistence, REST design via JAX-RS, health endpoints, and Swagger OpenAPI tooling.

Explore how prompt files, skills, instruction files, and agents guide GitHub Copilot, showcasing planning mode and three custom agents—the cautious captain, building buccaneer, and planning pirate—and their handoffs.

Create the first custom agent, the cautious captain, that asks three questions on security, accessibility, and compliance before implementing code for a Tkinter hangman game in Python using GitHub Copilot.

Explore the when and why of creating custom agents for GitHub Copilot chat, including assigning tools, enabling handoffs, and using visual prompts to tailor the coding experience.

Discover advanced agent strategies by linking planning pirate and building buccaneer through handoffs and prompts in a GitHub Copilot workflow, plus a JavaFX hangman project.

Discover how the model context protocol (MCP) lets large language models connect to tools, edit files, run terminal commands, perform a port scan, and interact with Jira or Chrome DevTools.

Load static index.html with chrome devtools via the MCP server, saving a snapshot as snapshot.png. Run a lighthouse audit to generate report.html and guide Copilot-driven fixes for accessibility and SEO.

Connect a large language model in VS Code to a Jira instance via the Atlassian MCP server, authenticate, and use MCP tools to read, edit, create, and transition tickets.

Inspect MCP driven updates across python, javascript, html, and java, and confirm copilot configuration and AWS centric term updates. Reveal server readiness, Beanstalk deployment, and maven builds with tests.

Learn to install and run the GitHub Copilot CLI in Windows PowerShell 7+, log in, enter interactive mode, and explore commands to customize themes, permissions, and workflow automation.

Plan and build a tic-tac-toe React app by creating a folder, initializing a git repository, using Create React App, and pushing to a GitHub repo with a GitHub actions workflow.