ISSUE 513
Claude continues to evolve at a rapid clip

"If all you have is a choice between stupid and ceremonial, if all you have is a hammer, everything looks like a ceremonial problem."

— Marcin Wyszynski, the technical co-founder of Spacelift and co-founder of OpenTofu.ower CEO Serhii Sokolenko.

AI can write your infrastructure code. There’s a reason most teams won’t let it.

For this episode of The New Stack Agents, TNS's Frederic Lardinois sat down with Marcin Wyszynski, the technical co-founder of Spacelift and co-founder of OpenTofu, to talk about how AI is reshaping infrastructure as code (IaC). Tune in to learn why AI-generated infrastructure code creates new problems, and how guardrails can solve them.

Week in review: Claude continues to evolve at a rapid clip

Our stories on Anthropic's ever-changing Claude AI models were among the most-read last week.

The top story last week on The New Stack was all about Claude Dispatch for Cowork, a mobile-controlled AI agent that rivals OpenClaw. Contributor David Eastman tested this new feature against its open-source competitor.

Here's what else caught readers' attention recently:

If your AI outputs keep missing the mark, the model probably isn't the problem, writes contributor Jessica Wachtel. Here’s how to write prompts that reduce variance and get reliable results.

New Hugging Face data shows that Chinese AI models now lead in downloads and adoption, surpassing US open-source models, but Paul Sawers reports that a US company still controls everything underneath. Can you guess the company?

Capital One's SVP of developer experience spoke with contributor Jennifer Riggins about being cloud-first, tech-first, and developer-first.

Thanks for reading, and we’ll see you next week.

— Nick Lucchesi, editor-in-chief, TNS

Kubernetes co-founder Brendan Burns: AI-generated code will become as invisible as assembly
Burns argues that as testing frameworks mature, developers will stop reviewing most code and programming languages will evolve to match.

IBM, Red Hat, and Google just donated a Kubernetes blueprint for LLM inference to the CNCF
IBM, Red Hat & Google donate llm-d to CNCF — an open-source Kubernetes framework for scalable, vendor-neutral LLM inference on any model, accelerator, or cloud.

Will AI force code to evolve or make it extinct?

Will AI spawn new programming languages, or will typed languages like Rust and TypeScript win? Experts explore AI's growing impact on how developers write code.

The AI blind spot debt: the hidden cost killing your innovation strategy

AI adoption creates a "blind spot debt" of unvetted models, APIs, and agents. Learn the three-pillar strategy to secure your AI supply chain.

New webinar: Scaling K8s with systemic certainty
April 9

As Kubernetes scales, manual patching and infrastructure drift often become bottlenecks that stall your roadmap and create compliance risks. Join us live to learn how to move beyond a coping-based strategy and adopt an API-driven foundation that scales without increasing your headcount.

Building a self-service developer platform the thoughtful way
On-demand

Developers want a public cloud-like experience — even on-prem. In this insightful session, we uncovered how to automate full-stack Kubernetes deployments with a single Git commit. The entire webinar is now available on-demand.

Scaling real-time AI & ML workloads for performance and efficiency
On-demand

This insightful session on scaling real-time AI & ML workloads is now available on-demand. Learn where traditional infrastructure falls short, what modern AI/ML workloads demand, and how purpose-built systems enable predictable, efficient scale.

AI-powered K8s observability best practices in 2026
On-demand

As AI workloads move into production, the ephemeral nature of Kubernetes is becoming even more difficult to manage. Learn how to leverage AI-powered insights to ensure the health, performance, and security of your increasingly complex K8s environments.

Strategic insights for the modern enterprise leader

Cautious Optimism is a newsletter that makes the connections enterprise leaders actually need: how AI releases and tech developments intersect with market forces, policy shifts, and the power dynamics shaping your competitive landscape.

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