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

This article demonstrates how to automate architecture documentation by using Amazon Bedrock AgentCore to analyze .NET codebases, generate UML diagrams, and integrate them into searchable knowledge bases via AWS CodePipeline.

• AgentCore agents analyze code, generate Mermaid-based UML diagrams, and self-correct validation errors with 95% reliability
• AWS CodePipeline orchestrates the workflow from code commit through diagram generation to Amazon S3 storage
• Amazon Bedrock Knowledge Bases enables semantic search and natural language queries over generated architecture documentation
• Solution generates multiple formats: SVG diagrams, Mermaid source files, and metadata JSON for discoverability
• Hierarchical chunking with 1,500-token parent and 300-token child chunks supports both complete and granular entity-level retrieval
• Cost per generation approximately $0.28; scales linearly for multiple repositories
• Production deployment at financial services firm generates 140+ diagrams weekly across 20 repositories with zero manual overhead
• Measurable benefits include 70% reduction in onboarding time, 30% fewer production incidents, and 2-week audit preparation compressed to 2 days

Automating architecture documentation with AgentCore transforms manual processes into scalable, self-correcting workflows while making documentation instantly discoverable through natural language queries.