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AI can write your Terraform in seconds. Learn what it takes to govern configuration drift and heal AI-generated infrastructure builds.

"We'll just build it ourselves" is usually said with confidence and a rough headcount estimate. Six months later, the team that was supposed to spend two sprints on it is still maintaining it a year in, and the platform that was meant to save engineering time has become one of the things engineering time goes to. Build isn't automatically the wrong call. Sometimes it's the right one.

It's 3am and a complaint has made its way to you: customers can't see product reviews. Nothing has crashed, and no alert points anywhere useful. Somewhere in your stack one service is failing, and the one showing the error is probably not it. Before you can fix anything you have to find it, and that search is most of your night. Now imagine you open the laptop, type one sentence and go grab a coffee. By the time you’re back, the root cause is ready, evidence attached. Your job is to check it.

How to delete a SharePoint or Teams-connected site: admin center and PowerShell steps, the 93-day window, permanent deletion and the storage effect.

Git worktrees let you check out multiple branches of the same repository in separate directories. Each worktree has its own files and staging area, but they all share the same Git history. You can work on several branches without repeatedly switching between them, stashing changes, or cloning the repository again. Worktrees are especially useful when working with coding agents. Tools like Claude Code, Codex, and Cursor can use them to handle multiple tasks in parallel without editing the same files.

Agentic Pipelines now integrates with the redesigned Atlassian MCP server for Claude and Codex agents. Rovo Dev CLI agents in Agentic Pipelines currently use the original version of Atlassian MCP server and are unaffected by this update.

Your connection holds up all day. Then, in the evening, video calls start to stutter, pages take longer to load, and file uploads slow to a crawl. By the next morning, everything is back to normal, so any test you run during the day comes back clean. For a business, that pattern shows up in a few ways. A remote employee can’t get through an evening call. A branch office’s nightly backup never finishes.

Incidents now unfold across more connected systems and at greater speed. Here’s what Forrester says IT leaders should rethink as AI takes a larger role in investigation, response, and recovery.

You can already break down cloud spend by team, product, or customer in Explorer. But AI spend has been harder to decompose. Which models is each team running? What activity is driving the cost growth you saw this month? Before AI Explorer, answering those questions meant exporting raw event data and building your own breakdowns, or waiting days for reconciled billing to land in Explorer.

Enterprises are putting hard ceilings on AI spend. Accenture now centrally funds $29 a month per person for Claude and charges anything above that to a project budget code. Uber used up its 2026 AI budget in four months and restricted access. A cap stops waste and useful work at the same rate. The alternative is seeing AI cost by team, by project and by outcome, then funding what returns. Companies spent the past year telling employees to use more AI. Now a lot of them are putting a lid on it.