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SpaceX Just Bought Cursor for $60B. What That Means If Your Team Lives in It
SpaceX is acquiring Anysphere, the maker of Cursor, in a $60 billion all-stock deal, the largest acquisition of a venture-backed startup ever. The number is the headline. The real question for engineering teams is what it means to build your daily workflow on a tool whose owner just changed.
Your First Serverless LLM Call on DigitalOcean in 10 Minutes
DigitalOcean's Inference Engine gives you an OpenAI-compatible endpoint with pay-per-token pricing and no GPU to manage. Here is the fastest path from zero to a working call, with curl, Python, and Node, every snippet run against the live API.
AI SRE Agents: What They Actually Fix, and What They Will Happily Break
AI SRE is now its own category, with every incident vendor shipping an agent that investigates and remediates on its own. Here is the honest split: where these agents genuinely earn their keep, where they are oversold, and the one risk nobody puts on the marketing page.
The US Government Pulled Two Frontier Models Overnight. The Real Lesson Is About Your Stack
On June 12, 2026, an export-control directive forced Anthropic to disable Claude Fable 5 and Mythos 5 for every user worldwide, three days after launch. The policy fight is interesting. The operational lesson for anyone building on a single model provider is more urgent.
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.