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

2026-09-03 02:18 Products & Apps 🔥 35.9 heat score
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The Amazon Bedrock AgentCore platform solves the problem of maintaining software architecture documents through autonomous agents. Starting from the first quarter of 2026, a global financial company implemented this solution on its electronic trading platform. AgentCore is used to analyze code libraries and automatically generate architecture diagrams. Combined with AWS CodePipeline for triggering processes, Amazon Bedrock Knowledge Bases for semantic search, and Amazon S3 for storing vector diagrams and source code files, document updates are integrated into the continuous integration and delivery (CI/CD) workflow. This architecture aims to eliminate knowledge silos, accelerate developer onboarding, and meet compliance audit requirements, ensuring that documents reflect real-time code changes through an iterative correction mechanism.

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Key entitiesKEY ENTITIES
AWS CodePipelineAmazon Bedrock AgentCoreAmazon Bedrock Knowledge Bases

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AWS CodePipeline × Amaz…1AWS CodePipeline × Amaz…1Amazon Bedrock AgentCor…1

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Keyword heat
  • Amazon Bedrock AgentCore1
  • AWS CodePipeline1
  • Amazon Bedrock Knowledge Bases1

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A AWS ML Blog en 2026-09-03 02:18

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

The Amazon Bedrock AgentCore platform solves the problem of maintaining software architecture documents through autonomous agents, helping a global financial company to implement automated document generation on its electronic trading platform starting from the first quarter of 2026. This solution uses AgentCore to analyze code libraries and generate architecture diagrams, combines AWS CodePipeline for triggering processes, utilizes Amazon Bedrock Knowledge Bases for semantic search, and employs Amazon S3 for storing vector diagrams and source code files, integrating document updates into the continuous integration and delivery (CI/CD) workflow. This architecture aims to eliminate knowledge silos, accelerate developer onboarding, and meet compliance audit requirements, ensuring that documents reflect real-time code changes through an iterative correction mechanism.