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AI Coding AssistantsAmazon AI BlogPublished: Sep 4, 2026, 04:00 JST1 min read

AWS shows AI-driven coding with two reference builds

AWS shows AI-driven coding with two reference builds

Key takeaway

  • AWS shows two AI coding helpers.

  • One makes diagrams from SQL.

  • Another checks code for security issues.

3 Key Points

  1. What happened

    AWS published reference implementations for an AI-driven development lifecycle. One turns SQL schemas into Mermaid ER diagrams. The other runs automated code security checks.

  2. Why it matters

    The systems keep humans in control while AI does routine work. They show how to add AI to coding without removing human review.

  3. What to watch

    Both use Amazon Bedrock AgentCore and Claude Sonnet 4. You can find full deployment steps in their GitHub repos.

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Context & Analysis

The two examples work together to close the gap between AI concepts and real code. The diagram generator shows how AI can automate documentation. The security scanner shows how to add checks without slowing delivery.

Both rely on common building blocks like AgentCore memory and Gateway. Memory keeps context up to 90 days. Gateway links external tools.

These patterns suggest a practical path for teams. They can start small with one task and add more as they go.

FAQ

How does the SQL-to-diagram tool work?
It reads SQL files from Amazon S3, parses the schema, and generates Mermaid ER diagrams.
What models do the agents use?
They use Claude Sonnet 4 through Amazon Bedrock.
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