AI-driven software delivery with Kiro, AWS DevOps Agent and Bluebox by Dynatrace

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This post was co-written with Michael Stephan, Senior Principal Product Manager, and Christian Kreuzberger, Principal Software Engineer, at Dynatrace. AI-driven software delivery changes how code gets written, but not what production demands of it. A generated change still has to fit the traffic your service receives, the dependencies it calls, and the capacity limits it runs within. Without that context, you validate the change after it ships, which adds rework and deployment risk. Kiro turns intent into specifications, code, and pull requests. AWS DevOps Agent investigates incidents and proposes mitigations. Bluebox by Dynatrace supplies the runtime topology, dependency, and traffic data that both draw on, so each change and each investigation is grounded in how the system behaves rather than how it’s expected to behave. In this post, we will follow a travel-booking example from feature design through post-deployment remediation. You’ll see how telemetry from Bluebox shapes a change in Kiro, how AWS DevOps Agent investigates an incident, and where human review and existing CI/CD controls remain in the process. What are Kiro and AWS DevOps Agent? Kiro is an agentic development environment that applies AI across the software development lifecycle. Its spec-driven workflow organizes a feature request into requirements, design, and implementation tasks before generating any code. AWS DevOps Agent is a frontier agent for software delivery and operations across AWS, multicloud, and on-premises environments. It investigates incidents, identifies likely root causes, and …

Vollständiger Originalartikel ↗

• Betroffenheit im eigenen Stack prüfen: Versionen/Komponenten abgleichen.
• Originalquelle / Hersteller-Advisory lesen: https://aws.amazon.com/blogs/devops/ai-driven-software-delivery-with-kiro-aws-devops-agent-and-bluebox-by-dynatrace/
• Verfügbaren Patch oder Workaround einspielen und dokumentieren.