Reducing documentation drift with Amazon Bedrock AgentCore

This article describes how Amazon Bedrock AgentCore and agentic AI can automatically synchronize technical documentation with source code, addressing the persistent problem of documentation drift that costs organizations millions annually.

• Documentation is updated 5.7–25 times less frequently than source code, costing companies with 1,000 developers an estimated $18.5 million yearly
• Corley built an agentic solution for Eutelsat that uses domain-specific knowledge bases and source code analysis to generate and update project documentation
• The agent reads source code via GitLab MCP, fetches relevant domain documentation from Amazon Bedrock knowledge base, and updates Confluence with synchronized documentation
• For 30 repositories, the solution achieved ~15–20 minutes per repository execution time with >90% time savings versus manual documentation
• Solution maps cross-repository relationships, creating estate-wide linked documentation that manual approaches wouldn't attempt

This agentic pattern—combining code analysis, domain-aware RAG generation, and human-in-the-loop review—is industry-agnostic and applicable across financial services, healthcare, manufacturing, and other sectors.