An AWS solution automates architecture documentation using AI agents.
It turns code into diagrams and updates them continuously.
This reduces manual effort and keeps documentation accurate.
What happened
AWS introduced an agentic solution using Amazon Bedrock AgentCore that automatically analyzes .NET code bases, generates UML and Mermaid diagrams, and publishes documentation. It has run in production since Q1 2026 at a global financial services firm.
Why it matters
Manual documentation becomes outdated within weeks, creating knowledge silos and compliance risks. The agent's iterative approach achieves 95% reliability compared to 65% with single-shot methods, reducing time and keeping diagrams current.
What to watch
The solution integrates with CI/CD via AWS CodePipeline, storing diagrams in S3 and enabling natural-language queries through Amazon Bedrock Knowledge Bases. Developers can ask questions like "What does the reconnection activity flow look like?"
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The solution addresses a persistent problem: architecture diagrams quickly become outdated as code evolves. By automating diagram generation and publishing through a CI/CD pipeline, it keeps documentation in sync with the codebase, which is critical for compliance audits and onboarding.
AgentCore's agentic approach mirrors a human architect's process, understanding the code, generating diagrams, validating syntax, converting to SVG, and publishing. This reduces the manual burden and improves reliability over single-shot methods.
The use of Amazon Bedrock Knowledge Bases adds a retrieval layer, enabling teams to query documentation in natural language. This turns static diagrams into a searchable knowledge asset, potentially unlocking business value from architecture visibility.
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