# Amazon — AI-driven development lifecycle using Amazon Bedrock AgentCore

- Company: Amazon (amazon.com)
- Announced: 2026-09-03T16:16:28+00:00
- Category: not stated
- Coverage: not counted
- Announcement: no
- Group: routine
- Source: https://aws.amazon.com/blogs/machine-learning/ai-driven-development-lifecycle-using-amazon-bedrock-agentcore/
- Record: https://forck.live/items/8057-ai-driven-development-lifecycle-using-amazon-bedrock-agentcore
- Subject: Bedrock / Nova
- Models affected: Claude Sonnet 4

Amazon Bedrock AgentCore is used in two reference implementations that demonstrate AI-DLC construction phase patterns: one generates Mermaid ER diagrams from SQL schemas, and the other provides automated code security analysis through a multi-agent architecture.

## Evidence

Verbatim from https://aws.amazon.com/blogs/machine-learning/ai-driven-development-lifecycle-using-amazon-bedrock-agentcore/:

> 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, and AgentCore memory, a capability of Amazon Bedrock AgentCore, along with external tool integrations.

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