This repo contains example code to demonstrate GitHub Copilot features. It is not intended to be used in production.
Open main.py in api-processing and type # Configure Prometheus and wait for suggestions. Use TAB to accept, ESC to reject or CTRL+arrow to accept partially.
Open main.py in api-processing and around line 52 change credential to azure_credential and wait for suggestions.
Where in my code I am processing messages from Service Bus queues and what is the code doing? #codebase
Create README.md and add all Terraform files.
Create basic Markdown documentation into README.md for my Terraform project. Start by describing this project as demo Terraform infrastructure, explain how to deploy it using Terraform CLI and list tree structure of tf files in the project with short description of each file into my README.md.- ```Create list of cloud resources used in this project.`
Research what container apps are and add short description of this service into existing section with list of cloud resources used in this project. #websearchResearch what Service Bus is and add short description of this service into existing section with list of cloud resources used in this project. #websearchCreate chapter listing environment variables used with each container app and put it into nice table.Add chapter TODO to end of document and describe next steps for this Terraform project. Make sure to include CI/CD using GitHub Actions, Infrastructure as Code security using DevSecOps tools, adding FinOps and other topics that are important for enterprise usage of this project as you see fit.
Attach query_data.cvs and ask ```Give me microsoft Kusto Query (KQL) to display percentage of procesor time grouped by instance and process id which is part of properties. Name of table is AppPerformanceCounters. Attached are example data.``.
Attach users_denormalized.json and ask:
Generate CREATE commands for normalized users, addresses and orders using Microsoft SQL.Based on data structure, create 10 lines of sample data and make sure it make sense and foreign keys are respected.Give me SQL statement to list userId, name, number of orders and number of addresses for each user.
Attach classes.png, create classes.py and ask Generate code for classes in Python according to attached schema. in Ask mode.
Create README.md file and in Edit mode follow with Create markdown documentation for classes.py and include mermaid diagram.
Add api-processing/main.py, worker/main.py and terraform files such as terraform/service_bus.tf and terraform.rbac.tf.
Ask In this code I am using Service Bus Queues, but I need to move to Service Bus Topics. Make sure to update my Terraform and Python code accordingly and add topic subscriptions and RBAC.
@azure /costs What can you tell me about storage costs im my subscription 673af34d-6b28-41dc-bc7b-f507418045e6
Ask this in chat: Generate CRUD in Python for product API
We will get functions using standard Python convention which is snake_case.
Clear chat and attach prompt file camelcase and ask again. We will get different response.
Discuss repo-wide instructions at ./.github/copilot-instructions.md.
Ask Did Pinecone introduced MCP support already? When and in what release? and Copilot will not know.
You can use Web Search for Copilot extension using your Bing or Tavily key. This question should be answered now:
Did Pinecone introduced MCP support already? When and in what release? Use #websearch
You can also Fetch specific file from URL directly. There is new standard llms.txt designed to give AI-friendly version of web site. Try this:
Did Pinecone introduced MCP support already? When and in what release? #fetch https://docs.pinecone.io/llms-full.txt
Run MCP server in folder random_string_mcp. This runs locally and is configured in mcp.json file on workspace.
Use this prompt in Agent mode to demonstrate:
Generate names for 10 containers in format app1-xxxxxx where xxxxxx is random suffix consisting of lowercase letters and numbers
Install Ollama and download Deepseek Coder models (small and mid size).
ollama pull deepseek-coder:1.3b
ollama pull deepseek-coder:6.7b
ollama pull qwen2.5-coder
In Copilot click on Manage Models and add Ollama models. Than try some of the above examples with different models.
Take files from frontend and using agent mode ask Enable dark mode for my frontend. User will have button to switch between light and dark mode. Implement necessary changes in the code and css.
Than try Now add other modes and make UI to switch them easier. Colorful, contrast, green and MS DOS
After few changes create branch, showcase commit message, PR creation and do Code Review.
In GitHub show vulnerabilities and demonstrate autofix.