AWS DevOps Agent is a new preview service designed to accelerate incident response and improve system reliability. The agent can detect operational incidents, assist with troubleshooting, and help teams respond faster to production issues.
For SREs and platform engineers, this signals AWS's push toward autonomous incident management—reducing mean time to resolution by letting AI handle initial triage and diagnostics.
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Finally, per-team token tracking for Claude Code on AWS..
AWS published detailed guidance for deploying Claude Code with Amazon Bedrock at enterprise scale. The key insight: direct OIDC federation with your identity provider (Okta, Azure AD, Auth0, Cognito) eliminates API key management entirely while giving you per-developer usage tracking through OpenTelemetry.
The recommended pattern isolates Bedrock resources in a dedicated AWS account with SCPs locking down service access. This gives you clear cost attribution, centralized security controls, and protection for production workloads. Prompt caching is enabled by default on supported models, reducing token consumption for iterative coding sessions.
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Define domain experts as Markdown files and share them across your org.
GitHub introduced custom agents in Copilot—lightweight integrations defined as simple Markdown files in .github/agents/ directories. These agents extend Copilot's coding capabilities with specialized knowledge for infrastructure, security, and observability workflows.
Launch partners include Terraform for IaC review, Dynatrace and Elasticsearch for monitoring, JFrog for security scanning, and more. The key benefit: encode your organization's patterns once, then enforce them everywhere. No more repeating context in every PR review.
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Terraform gets first-class support in Amazon's new AI development environment.
HashiCorp announced a partnership with Kiro, AWS's new agentic IDE that takes a spec-driven approach to development. Unlike "vibe coding" tools, Kiro generates detailed specifications before writing code—user stories with acceptance criteria, technical designs with diagrams, and trackable implementation tasks.
For infrastructure engineers, this means better AI assistance for Terraform workflows. Kiro includes MCP support for connecting specialized tools, steering rules to guide AI behavior, and hooks that trigger automations when you save or create files. Currently free during public preview.
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Manage EKS clusters through conversational AI instead of kubectl commands.
AWS announced a fully managed MCP (Model Context Protocol) server for Amazon EKS in preview. This tool lets you interact with Kubernetes clusters using natural language queries through Claude or other MCP-compatible clients.
Instead of constructing kubectl commands manually, you can ask questions about cluster state, run diagnostics, and manage containerized workloads conversationally. For teams already using AI coding assistants, this reduces context-switching between chat interfaces and terminal sessions.
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Until next week!