Operations | Monitoring | ITSM | DevOps | Cloud

Agentic coding tools like Claude Code can write, refactor, and debug across an entire codebase, but by default they read code as plain text, the way grep does. The Language Server Protocol (LSP) changes that: it’s the same code-intelligence layer an IDE uses, and wiring it into an agent lets it read code by meaning instead of by string match. The bigger the codebase, the more a wrong guess about a symbol costs, and the more that structural view pays off.

Interface counters tell you a port is busy. Bytes in, bytes out, errors, drops. That’s enough to know a link is saturated, but not enough to know which conversations are saturating it, which devices are involved, or how a problem propagates across your network. For that you’ve traditionally needed dedicated network performance monitoring tools, usually expensive, usually a separate console from the rest of your monitoring.

Since I started using Claude Code more frequently, I kept noticing a “worktree” checkbox popping up whenever I started a session in a Git repository. I had no idea what it meant, so I did what any curious developer would do and started digging. What I found was a Git feature I somehow never came across before: git worktrees.

Turn inventory data into actionable insights, build dashboards tailored to your needs, and expand visibility across Apple and ChromeOS devices.

Europe is in the middle of one of its most severe heat events on record, and the effects go well beyond public health. As temperatures across France, Spain, the UK, and Germany push into record territory, the strain on power grids, cooling systems, and physical infrastructure is becoming impossible to ignore. For data center operators, maintaining uptime in this environment demands the real-time visibility that modern Data Center Infrastructure Management (DCIM) software can provide.