Operations | Monitoring | ITSM | DevOps | Cloud

Meet GCX: Give Your AI Coding Agent Production Context

Jul 28, 2026 By Grafana In Grafana
Your AI agents are only as good as the context it has. Without access to what's happening in production, it can only make educated guesses. Chapters: In this video, you'll meet GCX. The bridge between AI coding agents like Claude Code, Codex, Cursor, and your Grafana observability stack. You will learn how GCX securely gives AI agents access to metrics, logs, traces, dashboards, and other production telemetry so they can investigate issues, answer questions, and help you debug with real operational context.
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circleci

What is an AI sandbox? A developer's guide

Jul 28, 2026 By Roger Winter In CircleCI
An AI sandbox is an isolated environment where code from an AI coding agent runs without direct access to your machine or your production systems. If the agent runs a destructive command or a mistaken script, the damage stays contained inside the sandbox. Developers use AI sandboxing to let agents execute code freely while keeping the host and its credentials out of reach.
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How to Connect Cursor to CircleCI: AI-Powered CI/CD Debugging with MCP

Jul 28, 2026 By CircleCI In CircleCI
Stop context-switching between your IDE and CI dashboard. This video shows you how to connect Cursor to CircleCI using the CircleCI MCP server so your AI agent can read pipeline failures, validate configs, and trigger builds without leaving your editor. In this demo, we introduce a bug, let CI catch it, and watch the agent diagnose and fix it autonomously through a full green pipeline. No manual log hunting required.
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almaden ai

How Collective IQ Turns Reactive IT into Truly Proactive IT

Jul 27, 2026 By Almaden AI In Almaden AI
Most IT organizations still operate in "firefighting" mode: an employee opens a ticket, the service desk investigates, depending on severity and complexity multiple teams or people are involved to diagnose, and then the appropriate person or team fixes the issue. The whole process then repeats for the next reported incident. This model doesn't scale, drains time and budget, and leaves a huge number of issues unresolved because many employees simply don't bother to report them. And, if and when they do report them, it's too late, the problem has already impacted their productive work.
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grafana

Smarter onboarding and planning with Grafana Assistant: How to ensure observability is baked in from the start

Jul 27, 2026 By Sven Großmann In Grafana
It's Monday afternoon and that feature you've been working on is mostly done. There's just one item still sitting untouched at the bottom of the ticket: "Add monitoring." You know you should. You also know the sprint ends tomorrow, nobody on the team is an observability expert, and figuring out what to measure—let alone how to write the PromQL for it—feels like a project all on its own. So it gets the same treatment it always does: "We'll add it when it breaks.".
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cloudzero

OpenAI Codex pricing in 2026: plans, token costs, and usage limits

Jul 27, 2026 By Lyne Carolyne In CloudZero
Codex pricing runs six tiers, from free to $200 a month, but the sticker price is not your real bill. OpenAI Codex pricing 2026 charges by the token, not the plan, a change that took effect in April. Plus is $20, Pro starts at $100, and everything past that depends on how many files you let the agent read. Most Codex pricing guides hand you a price list and call it done. That is like pricing a taxi ride by the door handle. The meter is what matters, and OpenAI put a real one on Codex this year.
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