Operations | Monitoring | ITSM | DevOps | Cloud

Use AI to resolve CI test failures with zero guesswork

Test failures are inevitable. A broken condition, a missed edge case, or a last-minute refactor can trip up even the most careful changes. That’s part of shipping software. What shouldn’t be part of the job is spending half your afternoon parsing logs and chasing down the root cause. Now, there’s a faster way. This guide shows how to use the CircleCI MCP server to identify, understand, and resolve failing tests in a CI/CD build without ever leaving your editor.
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5 Ways Bunnyshell Ephemeral Environments help you ship and deploy faster in the age of Gen Code AI

The way we build software is evolving. Fast. AI-powered development tools like Cursor are transforming how developers write code, solve problems, and iterate on ideas. But as the pace accelerates, so do the challenges. Local machines can't keep up. Testing AI-generated code is time-consuming. Sharing work involves unnecessary friction. And moving from dev to production often means slowing down just when you want to speed up. Ephemeral environments are becoming essential infrastructure for modern development-and Bunnyshell helps teams keep pace without compromise.

How software triage is changing with AI agents

"Imagine spending hours manually sifting through error logs, trying to pinpoint the root cause of a critical issue. This is a common challenge in software development." This is a problem that many engineers experience today and this process can be greatly improved an automated using AI agents. These AI agents will require as much context about the issue or problem as possible to be effective and have any opportunity to help improve this process.

AI SOC, Explained: How AI-Powered SOCs Transform SecOps

Security Operations Centers (SOCs) are the command center of an organization’s frontline cybersecurity defenses — responsible for monitoring threats, prioritizing alerts, and orchestrating remediation. However, today’s SOCs are facing an existential crisis: an overwhelming volume of increasingly complex and sophisticated threats combined with a shortage of skilled analysts.

Find and fix CI build errors with AI

Software teams rely on CI/CD pipelines to build, test, and deploy code quickly. But when a build fails, it can disrupt the entire workflow. Digging through logs, chasing down errors, and switching between dashboards takes time you don’t want to waste. In this tutorial, you’ll learn how to use your AI coding assistant — powered by structured data from your CI system — to diagnose and fix build failures faster.
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Fabrix.ai Demo Day Showcases Agentic Platform and AGNTCY Collective Ecosystem Alliance

Fabrix.ai, a pioneer in enterprise-ready agentic AI solutions, successfully hosted its highly anticipated Agentic AI Demo Day yesterday, bringing together IT operations, NOC operations, and AI operations professionals for a comprehensive showcase of its Purpose-built Agentic AI Operational Intelligence Platform.

Unlock Cheaper & Faster AI Testing: Mocking Claude and MCP

Generative AI is quickly becoming ubiquitous in the software development space, with tools like Anthropic’s Claude offering rapid methodologies for code iteration, testing, and deployment. As new solutions, such as MCP (Model Context Protocol), are created to make integration more seamless, enterprises are adopting these AI solutions to optimize their development processes, a familiar challenge repeatedly arises: cost.