Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on APIs, Mobile, AI, Machine Learning, IoT, Open Source and more!

Best ADEs for Multi Agent Coding in 2026

Running one AI coding agent is productive. Running five of them at once across three repositories? That’s a coordination problem. Agentic development environments (ADEs) give you a single surface to orchestrate multiple agents, review what each one changed, and get code merged. Kepler by GitKraken is one of the most capable options in this growing category. It’s built around agent-agnostic orchestration and Git workflow control from backlog to merged PR.

AI Tooling Comes to Cycle - Announcing Cycle's Hosted MCP

TL;DR - We made a way to use Cycle with AI models for doing things like deploying applications faster and diagnosing complex issues. If you'd like to get started right away with Cycle's Hosted MCP, check out our documentation. Today, we're launching a brand new way to interface with the Cycle Platform, that just a year or two ago would have felt entirely like science fiction. Our first ever AI-oriented tooling, Cycle's Hosted MCP, is live today.

Your data says one thing. Your AI thinks another.

Aiven and SFEIR walk through what a governed, AI-ready foundation for product data looks like, and what it actually takes to build one. We'll be joined by Céline Thooris, Managing Director of WEnvision (SFEIR group), and Stan Dmitriev, Product Director for Aiven Context, sharing a first-hand view from the field and a concrete next step. What to expect.

Shipped: Get alerted when AI spend spikes, with the cause attached

AI spend now comes from every department, and it can double in a week without anyone deciding it should. The invoice arrives after the month closes. By then the usual response is a spend cap, which slows every team, including the ones getting real work done with AI. You need to know about spend that breaks its normal pattern while there’s still time to act. The alert should reach the person who can act on it, with proper context and detail.

Building Investigations: what it takes to build an AI SRE

At incident.io, we've spent the last two years building Investigations, our AI SRE. When you get paged, it starts investigating straight away, looking across your telemetry, recent deploys, past incidents, docs and code, and posts what it's found in your incident channel (or on your phone, if it's 2am and you're still deciding whether you need to get out of bed). By the time you open your laptop, you're starting at step six of triage rather than step one.

Cycle's Hosted MCP Release Announcement

We are stoked to announce that we have released our very own hosted MCP that allows you to use natural language to interact with and control anything you have running on Cycle.io. Alexander Mattoni, CTO and co-founder of Cycle, shares a few scenarios where the MCP can be useful. With the MCP, Cycle users can communicate with the Cycle platform directly from their preferred AI tool. In minutes, users can provision a new server, deploy an application, or troubleshoot an issue directly from their AI assistant like Claude, Claude Code, ChatGPT or Codex.

Endpoint Management with AIDriven Automation

In just two minutes, learn how our AI-powered platform unifies control across Windows, Mac, Linux, Mobile, and even VR/XR headsets. Discover how to eliminate tedious tasks with automated patching, zero-touch onboarding, and self-healing capabilities—allowing your team to focus on strategy instead of firefighting. What you’ll see in this video: How to achieve full visibility across your entire environment. The benefits of risk-based patching and continuous compliance. Proactive user experience optimization powered by AI. How to reduce risk and scale IT efficiency on a single platform.

Android belongs in your CI/CD pipeline

How on-demand Android environments turn validation into a repeatable pipeline stage In the first article, we looked at automation: how Android environments can be created and managed programmatically. In the second, we looked at scaling: how shared infrastructure can make those environments available to more developers, tests, and workloads. This third article looks at the next step: integrating those environments directly into CI/CD.