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The latest News and Information on DevOps, CI/CD, Automation and related technologies.

Same team, but building more ft. Chris Kelly of Augment Code

Most teams obsessing over token costs are measuring the wrong thing. The real savings from AI aren't in lines of code written faster. They're in the coordination overhead that disappears when fewer humans need to align before anything gets built. Chris Kelly, Head of Product at Augment Code, joins Rob to cover why prototypes have replaced specs, how agents enable dynamic team capacity the way cloud replaced over-provisioned servers, and what "good code" even means when your primary reader is an LLM. In this episode.

Why AI economics needs a financial control plane

Runtime guardrails and control towers govern AI activity — but without a financial control plane connecting spend to outcomes, enterprises can't tell which AI bets are worth it. Most enterprises can answer exactly one question about their AI rollout: what did we spend?

Civo AI: Strategy over complexity

Most cloud providers think AI is just a hardware problem. They focus on the GPUs, the racks, and the raw compute, but they leave the strategy up to you. At Civo, we do AI differently. We don't just provide the hardware; we guide you through the full life cycle of AI adoption, from initial planning to scaling production workloads. By leveraging best-in-class NVIDIA models and GPUs, we give you the performance to unlock AI at scale without the fear of being bogged down by complexity. It's more than infrastructure, it’s cloud freedom with AI built-in.

Self-host AI on Kubernetes: GPU clusters, private models, and the GitOps Catalog

Spin up a GPU workload cluster using Konstruct's new GPU cluster templates, deploy a self-hosted LLM, and use it in your organization — all live on stream. This hands-on session shows how shipping AI workloads to GPU clusters is just as easy as deploying to Konstruct physical or virtual clusters, and how open source apps in the GitOps Catalog make it even faster. Walk away knowing how to cut your token spend by running models privately on your own infrastructure.

From Watching AI Search to Engineering for It: What Q1 2026 Taught Us About Real Digital Demand

Last year, I wrote about how AI-driven search trends reshaped my digital marketing strategy in ways I hadn’t seen in two decades. At the time, the story was mostly observational: traffic patterns were changing, conversions were holding, and AI-generated search answers were clearly influencing buyer behavior. Fast-forward to the first quarter of 2026, and one thing is clear — this shift didn’t slow down; it accelerated.

Why DevOps transformations fail in regulated industries, with Merge Ready's Matt Bailey

Cortex co-founder and CTO Ganesh Datta sits down with Matt Bailey, DevOps consultant and founder of Merge Ready. Matt shares lessons from helping large regulated organizations in finance, healthcare, and government transform their DevOps practices, and explains why DevOps is an outcome rather than a toolchain.