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Infrastructure That Documents Itself: A New Era for Developers and Platform Teams

  • Writer: Code To Cloud
    Code To Cloud
  • 5 days ago
  • 2 min read

Documentation is always the first thing to fall behind.


You ship a new Azure environment, wire up services, configure networking—and a few months later, nobody remembers why that Key Vault exists or how Container Apps talk to Cosmos DB.


We built a proof-of-concept repo to change that.


Using GitHub Copilot + Azure MCP (Model Context Protocol), this repo generates a complete infrastructure wiki directly from a live Azure environment in under 15 minutes—using only natural language prompts.


No manual writing. No portal copy-paste.


GitHub repo page titled "genai_wiki" with project files listed and README displaying "CODE TO CLOUD." Dark theme interface.

What You Get in Minutes



From a running Azure environment, the repo automatically generates:


  • Architecture diagrams

  • Full resource inventory (21 resources)

  • Network topology

  • Dependency maps

  • Integration guides

  • Operational runbooks



That’s 13 documentation files in ~15 minutes, with zero manual effort.



Why This Matters



Accurate by default

Docs reflect what’s actually deployed—not last quarter’s diagram.


Instant onboarding

New engineers get a real architecture walkthrough on day one.


Audit ready

Network and dependency documentation generated on demand.


Knowledge democratized

Junior engineers can produce senior-level documentation.




How It Works (High Level)



GitHub Copilot uses Azure MCP to query your live Azure environment:


  • Discovers resources via Azure Resource Graph

  • Inspects networking, security, and dependencies

  • Generates diagrams and documentation automatically



You simply prompt in natural language.


Example:

“Create a wiki for this resource group with diagrams, inventory, dependencies, and runbooks.”


That’s it.




What’s Next



We’re scaling this into an Enterprise Documentation Agent using Azure AI Foundry:


  • Multi-subscription discovery

  • Automatic updates when infrastructure changes

  • Pull requests with refreshed docs

  • Compliance mapping

  • Cost attribution

  • Drift detection



The goal: always-current documentation across your entire Azure estate.


Image of a README displaying a Real-Time Audio Voice Agent architecture diagram with text on AI features and infrastructure details in dark theme.

Try It Yourself




Requirements:


  • GitHub Copilot

  • Azure MCP extension

  • Reader access to Azure



Works locally or via GitHub Codespaces.




Final Thoughts



Documentation doesn’t have to be manual or stale.


With the right tools, your infrastructure can document itself—accurately, instantly, continuously.




Author- Kevin Evans (Cloud Native Leader)

 
 
 

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