AI
Browse all articles, tutorials, and guides about AI
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How NetEase Games Cut LLM Cold Starts From 42 Minutes to 30 Seconds Using Fluid
NetEase Games published a Kubernetes case study walking through how they took their serverless GPU inference cold-start time from 42 minutes down to under 30 seconds. The bottleneck isn't the GPU. It's the 60GB model weights crossing a region. Here is what they did with the CNCF Fluid project and how to apply the same pattern even if you are not on Kubernetes.
AI Is Reshaping DevOps. The Engineers Are Faster Than the Vendors.
GitHub, Datadog, HashiCorp and friends are moving carefully. The engineers running their stacks are wiring AI into kubectl and pull-request review on a Tuesday afternoon. Here is what is actually changing in 2026, what is not, and where the gap between vendors and the engineers using their tools is widest.
Best Claude Code Plugins for DevOps Engineers in 2026
A curated guide to Claude Code plugins built for DevOps workflows - from Terraform validation and Kubernetes troubleshooting to security scanning and CI/CD pipeline optimization.
Claude Code: Agents, Commands, Skills, and Plugins Explained
A clear breakdown of the four extension types in Claude Code - what each one does, how they differ, and when to use which. No marketing fluff, just practical explanations with examples.
CLI vs MCP: When to Use Each for AI-Powered DevOps
CLI tools and MCP servers both let AI agents interact with your infrastructure, but they solve different problems. Here is when to reach for each one and why the answer is usually both.
Claude Code Hidden Features You Probably Missed
From mobile sessions to automated PR reviews, here are the Claude Code features that most engineers overlook but can seriously level up your workflow.