Posts Tagged bedrock-agentcore

Every developer building AI agents knows the gap between a working prototype and production deployment. Your fraud detection agent works perfectly on your laptop, but how do you deploy it with proper authentication, memory persistence, observability, and guardrails? This post walks through a complete journey from local development to production-ready AI agents using Amazon Bedrock AgentCore, the Strands SDK, and Pulumi.

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The IDE is dying, and so is tool calling. OpenAI is not going to win. And next year, you’re going to be shipping code that you’ve never reviewed before, even as an experienced engineer.

These are bold claims, but the way we use AI in 2026 for coding and agents is going to look completely different. In this post, I want to cover my predictions and why they matter right now for DevOps engineers. Some of these are definitely hot takes, but that’s what makes this conversation worth having.

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AWS re:Invent 2025 delivered a myriad of announcements across AI, silicon, and cloud infrastructure. AWS unveiled the expanded Nova model family, introduced Nova Forge for custom model training, launched Trainium3 UltraServers, and added major production features to AgentCore. It was a lot, and taken at face value, it looks like another scattershot year of big releases.

But if you look past the firehose, a pattern emerges. These announcements fit together into a single bet about how enterprise AI will be built.

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