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From code to diagrams: Agentic architecture documentation with Amazon Bedrock AgentCore

A global broker automated its entire architecture documentation pipeline with agents — no humans in the loop.

Illustration of independent geometric mechanisms passing paper tasks along branching amber tracks.
AI agents and the coordination of work.AI illustration by KeyNews
The KeyNews take

Why it matters

Real agent deployment doing multi-step work (code analysis → diagram generation → knowledge base indexing). Shows how agentic systems are moving from pilots to production workflows in enterprise infrastructure.

The key facts

10 to know
  1. Amazon Bedrock AgentCore used to build automated documentation pipeline

  2. Multi-step agentic workflow: .NET code analysis → architecture diagram generation → searchable documentation

  3. Integrated with Amazon Bedrock Knowledge Bases and AWS CodePipeline

  4. Global interdealer broker deployment (named enterprise use case)

  5. Automation of architecture documentation (previously manual/labor-intensive task)

  6. Agent system: code analysis + diagram generation + documentation maintenance

  7. Tech stack: Amazon Bedrock AgentCore, Knowledge Bases, AWS CodePipeline

  8. Use case: .NET codebase architecture documentation (automated)

  9. Industry: Global interdealer broker (financial services)

  10. Multi-step autonomy: agents orchestrate across multiple AWS services

Go to the source

AWS Machine Learning Blogaws.amazon.com

Publisher excerpt: Learn how a global interdealer broker built an automated architecture documentation pipeline on Amazon Bedrock AgentCore that analyzes .NET code bases, generates architecture diagrams, and maintains searchable documentation through Amazon Bedrock Knowledge Bases and AWS CodePipeline.
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