AI-driven development lifecycle using Amazon Bedrock AgentCore | Amazon Web Services
Engineering teams adopting the AI-Driven Development Lifecycle (AI-DLC) with Amazon Bedrock AgentCore and coding agents like Kiro often struggle with the gap between conceptual frameworks and working code. Amazon Bedrock AgentCore is a service for building, connecting, and optimizing agents at scale with any framework or model. AI-DLC positions AI as a central collaborator across the software development lifecycle, handling routine execution while humans retain oversight of critical decisions. This post closes that gap with working reference implementations.
This post walks through the architecture, design decisions, and key code patterns behind two reference implementations that demonstrate AI-DLC construction phase patterns using Amazon Bedrock AgentCore, Kiro, and local agentic coding tools. The first generates Mermaid entity relationship diagrams from SQL schemas using AgentCore runtime, a capability of Amazon Bedrock AgentCore. The second provides automated code security analysis through a multi-agent architecture that uses AgentCore Gateway, a capability of Amazon Bedrock AgentCore,...
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