GitHub Copilot & Claude Code: AI Agents, Skills & MCP 2026

Explore GitHub Copilot's key features—autocomplete, inline chat, chat window, and terminal usage—through Csvparser and fast-csv based csv formatting and a real-time chat app with express and socket.io.

Sign in to github.com, subscribe to GitHub Copilot with a monthly or yearly plan and a 30-day trial, then install Copilot into your IDEs.

Install and activate GitHub Copilot and Copilot chat in Visual Studio Code by navigating to Preferences > Extensions, then use Copilot in the editor to accelerate your code development.

Install the GitHub Copilot plugin into IntelliJ from the plugins marketplace, restart the IDE when prompted, and start using the Copilot chat window to accelerate coding.

Leverage GitHub Copilot to scaffold a Python REST app within Visual Studio, create a modular product CRUD service with a persistent database and REST endpoints, and manage dependencies with pip.

Turn folders into Python modules by adding init.py files for seamless cross-module imports and modularity. Leverage GitHub Copilot and PowerShell commands to restructure directories and automate module creation.

Centralize app and database initialization by moving logic to init.py, tie SQLAlchemy to the app lifecycle, and register product routes on startup with main.py updated.

Upgrade Python libraries with GitHub Copilot, update requirements.txt, and launch a Flask CRUD app locally. Test create, read, update, and delete operations using curl commands.

Scaffold a ReactJS application atop a Python backend with GitHub Copilot, using Accelerate Workspace to generate code, unit tests, and selenium scripts for a modular product app with CRUD features.

Enhance a ReactJS app by adding a product route with react-router-dom, guided by Copilot's import suggestions and patterns. Use the readme to structure the project and launch the app.

Copilot enables a single product form in a React.js app to create or update products using a use effect hook and a conditional submit handler.

Enhance a React app's UI by integrating Bootstrap and transforming the product list into a table with create, edit, and delete actions, using Copilot to update routing and navigation.

Learn real-time debugging with GitHub Copilot in your IDE, as it analyzes terminal errors and provides inline fixes, guiding you to resolve issues like unclosed tags and restart npm start.

Automate unit test creation with GitHub Copilot to write tests for product service using jest fetch mock, covering get products, get product, create product, update product, and delete product.

Accelerate qa with Selenium-driven front-end tests performing CRUD on a React app, guided by Copilot prompts and explicit wait conditions for element presence on localhost 3000.

Adapt selenium automation scripts for Java or NodeJS using Copilot prompts, specify language, import libraries, and follow step-by-step guidance to run the application.

Leverage AI-assisted coding with GitHub Copilot to scaffold a Java Spring Boot app in IntelliJ using Gradle and an H2 database, exposing a books CRUD REST API with controller-service-repository architecture.

Implement sorting, filtering, and pagination for the get all books endpoint using Copilot. Extend the repository with JPA specification executor and add predicate-based criteria for title and author.

Leverage Copilot to implement exporting book data to Excel in a Java app using Apache POI, exposing an endpoint to download books as an Excel file.

Demonstrates writing unit tests with Copilot for controller and service layers, including a new Excel file method, then debugging and fixing tests by adjusting mocks to handle any specification.

Accelerate API documentation by integrating Swagger with GitHub Copilot, automatically document endpoints and models, configure a Swagger config in Spring, and explore Swagger UI for testing endpoints.

Use GitHub Copilot to simplify Excel file code by extracting header and book rows into separate methods, shortening the main create Excel file method, and improving readability.

Explore using GitHub Copilot to implement JWT based authentication and Docker containerization in a Spring Boot microservices app, outlining tokens, claims, roles, and secured endpoints.

Set up SQL Tools in Visual Studio Code to enable Copilot-supported database editing, install the SQL Tools extension from the references, and configure a connection to an Oracle database.

Install the Oracle driver for SQLTools by adding the SQLTools for Oracle extension, then connect to Oracle Database through Visual Studio Code.

Configure SQL tools to connect to an Oracle database by adding a new connection, selecting the Oracle driver, naming it Copilot demo, using port 1521, and testing the connection.

Create a products table in an Oracle database using Copilot in VS Code, with id as auto-generated primary key and fields name, description, price, quantity, created_at timestamp.

Use the inline chat editor to create an index on the products.name column and verify its creation, then add a price check constraint to ensure price is greater than zero.

Use the inline chat editor to fix syntax errors with GitHub Copilot, identify a typo in a constraint name, and accept suggested corrections to resolve the issue.

Create a sku table with an auto-generated primary key ID and a foreign key product_id referencing the products table, including description, price, quantity, and created_at.

Generate test data with mockaroo by defining schemas for names, addresses, and numbers; export as csv, json, or sql; create a products dataset with id, price constraints, and 1000 records.

Generate test data for the skew table, creating a foreign key product id and an auto-generated id, distributing ten skus across products. Preview and import the data.

Leverage GitHub Copilot to generate a SQL*Loader script that loads a CSV of product data into the products table (name, description, price, quantity) with an auto-generated id.

Load skew data into the skew table from a csv using sql*loader, with columns product ID, description, and quantity, fields terminated by comma and optionally enclosed by double quotes.

Learn how to create and run a PL/SQL procedure to add a new product using Copilot's chat, validate results, and drop the procedure.

Leverage Copilot to add a price validation check in a pl sql block, raising an application error when price is less than or equal to zero, then compile and test.

Learn how to write a function that returns data by ID, print results to the console, and iterate a cursor to handle multiple SKUs, with Copilot assisting error handling.

learn how inner join, left outer join, right outer join, and full outer joins work on products and SKUs in Oracle Database, with examples of matching rows and nulls.

Create a hierarchical category table linked to the products table, add a category_id column to the products table, and populate 1000 products with random values 1 to 10 using Copilot.

Explore creating subqueries and common table expressions with GitHub Copilot to fetch smartphone products, count category products with joins, and build hierarchical category structures.

Leverage GitHub Copilot to scaffold a selenium automation app on herokuapp, creating dedicated test files for login, dropdown, dynamic loading, and file upload with supporting page files.

Use GitHub Copilot to update dependencies and implement login tests with mocha and chai, then run Selenium-driven tests validating successful and failed logins on the Heroku app.

Learn to automate dropdown functionality tests for a Heroku app using Mocha and Selenium WebDriver in JavaScript, validating option one and option two via a page object model.

Accelerate testing of dynamic loading pages with GitHub Copilot, Selenium WebDriver, and Mocha by completing the dynamic loading test.js and validating hidden and post-load elements.

Automate file upload tests for the Heroku app with Selenium WebDriver, with Copilot prompts, locating input and upload elements, uploading a file, and verifying the success message and file name.

Explore Cloud Code, the entropy intelligent coding assistant, that accelerates development, improves code quality, and enhances collaboration across writing, reviewing, and debugging in your full lifecycle.

Explore cloud code architecture from the user interface through the core application and AI integration layers, orchestrating a Google login flow with OAuth, frontend updates, and commits via the pipeline.

Install cloud code via terminal on mac os, create a project directory, run npm install -g cloud code, sign in with api token, and configure settings for the cli.

Set up cloud code by creating a project root and subdirectories, install cloud code globally with npm, and run Claude code extension to initialize the IDE extension.

Learn how to build a Python expense tracker with cloud code, including project structure, an expense class, a command line interface, and data persistence in expense.json.

Explore the cloud skills ecosystem, where modular, reusable capabilities extend cloud functionality and load from a skills directory. Learn definitions, types, architecture, deployment, and how MCP and agents compare.

Define cloud skills as a directory with a skills.md file (YAML header) on a 1.2 virtual machine, with three core properties: file system, demand loaded tokens, and composable.

Explore the skills architecture, showing how the cloud loads a skill from disk into the context. Load only the requested skill body, while a local extract script handles field extraction.

Explore the step-by-step architecture of skill loading, from startup prompts with lightweight metadata to invoking the PDF processing skill and loading only what is needed into the context window.

explore progressive disclosure as a design pattern for loading skills on demand, using guide with references, domain organization, and conditional scripts to enable plan, validate, execute workflows.

Create a valid skills markdown file from scratch following yammer front matter rules, then install, test, and debug skills in cloud code using a common missed layout scenario.

Reload and run cloud-based skills to deploy a meeting notes skill, then generate meeting summary, decisions, actions, and next steps from product sync notes.

Learn skill anatomy with YAML front matter and triggering descriptions; master markdown skills, templates, and conditional workflows, then install and use skills via API endpoints to create PowerPoint and Excel.

Explore the skills anatomy and front matter, focusing on YAML front matter with name and description, the body Claude reads, and crafting precise what and when triggers for skills.

Learn three core patterns for structuring skills files: template, example, and workflow, with fixed headers and formats, input-output pairs, and multi-step workflows that depend on prior steps.

Learn how to invoke Anthropic skills through the api, including required beta headers and the code execution tool, and how to download generated files using the files api.

Apply the plan-validate-execute design pattern to orchestrate production in three phases: plan identifies input and script, validation checks data structure, and execute writes deterministic output after validation.

Explore design principle skill patterns, including template, example, and workflow patterns, with fixed structures, input-output pairs, and a copyable checklist for multi-step workflows.