
AWS shows two AI coding helpers.
One makes diagrams from SQL.
Another checks code for security issues.
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.
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.
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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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.
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