🚀 May 2026 Recap: AI Agents Are Becoming Real Infrastructure

May was a packed month on the blog — and one theme kept showing up everywhere:

AI is moving from experiments into production systems.

I covered a lot this month, including:

🤖 Agentic AI on AWS - AWS Summit Amsterdam 2026 focused heavily on Amazon Bedrock AgentCore, managed agents, enterprise data platforms, and how companies are starting to run AI agents safely at scale.

🧠 Claude Code and AI-assisted development. I announced the Claude Code Bootcamp and shared practical workflows for using CLAUDE.md files, test generation, screenshot-to-UI workflows, and production-ready AI coding patterns.

☁️ GPU platforms and enterprise AI. At Red Hat Summit 2026, I presented “GPUs Take Flight,” focused on multi-tenant GPU platform engineering with OpenShift AI, NVIDIA, quotas, guardrails, and cost control.

🔐 AI security and observability. A big topic this month was how to secure, monitor, and govern AI agents — especially when they interact with tools, files, email, APIs, and production environments.

🛠️ Practical cloud engineering. I also shared hands-on posts about AWS account cleanup, SQL Server performance tuning, Vercel cost optimization, Rust in 2026, and local/open LLM deployment.

The big takeaway?

AI agents are no longer just cool demos. They now need the same discipline we already apply to cloud infrastructure: identity, observability, security, cost control, and deployment automation.

That’s where the real work begins.

👉 Full May recap here:https://lucaberton.com/blog/

What was the most interesting AI/cloud topic for you this month?

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🚀 May 2026 Recap: AI Agents Are Becoming Real Infrastructure