GitHub Copilot

Open the legacy Java file in VS Code.

Highlight the logic block in Copilot Chat.

Prompt: '/refactor convert this logic to a Spring Boot microservice using Java 21 features.'

Review the generated controller and DTO classes.

Use Copilot to generate corresponding Unit Tests for the new service.

Create a main.py file.

Type a comment: '# FastAPI app with endpoints for user CRUD and JWT auth.'

Accept the suggested imports and basic setup.

Use Copilot Chat to define the Pydantic models based on a database schema description.

Prompt Copilot to generate the SQL Alchemy sessions.

Paste the error log into Copilot Chat.

Explain the observed behavior: 'The variable X is occasionally null in this async block.'

Copilot analyzes the surrounding async/await logic.

It suggests adding a Mutex or restructuring the Promise.all sequence.

Apply the suggested fix and ask Copilot to explain why the previous version was thread-unsafe.

Open a .sql file or a string block in code.

Write a natural language prompt: '-- Calculate the 7-day rolling average of sales by region.'

Copilot generates the SQL window function syntax tailored for PostgreSQL or Snowflake.

Refine the query by asking to 'filter out transactions under $10' in the chat interface.

Open the root folder of the project.

In Copilot Chat, use the @workspace participant.

Prompt: '@workspace how is the authentication flow handled in this project?'

Copilot traces the logic from middleware to the database and provides a summary.

Ask: '@workspace show me the file where the user schema is defined.'