Operations | Monitoring | ITSM | DevOps | Cloud

At CircleCI, we’re committed to making our platform work seamlessly with the AI-powered tools that developers increasingly rely on. Our journey into AI integration is focused on creating a robust Model Context Protocol (MCP) server that allows AI assistants to access and understand CircleCI data in real-time. This enables developers to debug build failures, analyze test results, find and fix flaky tests, and improve pipelines using natural language within their favorite AI tools.

Distributed architecture is increasingly being adopted in current software systems because it brings great scalability and flexibility, keeping them resilient under real-world conditions, Unfortunately, this new distribution also introduces new points of failure in the systems. Traditional testing methods are no longer enough; they focus only on whether a system works, not on whether it keeps working under stress or failure. That is where chaos engineering comes in.

CircleCI gives you deep visibility into your builds, workflows, and tests, but jumping between browser tabs, copying project URLs, or re-authenticating across tools can slow things down. What if your IDE could just show you the projects you’re working on and let you act on them directly? This post shows how to use the list_followed_projects tool in the CircleCI MCP server to browse and interact with your CircleCI projects by chatting with an AI assistant inside your IDE.

Yet another supply chain attack has surfaced, this time using the xrpl library to sneak through malicious packages. xrpl.js is recognised as the recommended npm library for integrating the XRP Ledger (XRPL) with JavaScript/TypeScript applications, and has over 140k downloads a week.

Modern engineering teams spend a lot of time and resources in setting up monitoring of their production systems - tracking uptime, catching errors, and responding to incidents before customers ever notice. But what about the journey before code reaches production? For most teams, observing the CI/CD pipeline is either an afterthought or completely overlooked. While we recognize its importance, do we truly understand how well our CI/CD process is functioning?

As Software as a Service (SaaS) solutions evolve, organizations face increasing pressure to ensure uninterrupted service delivery. One of the most significant threats to SaaS Service delivery and operational continuity is the presence of known and unknown Single Points of Failure (SPOFs). As a SaaS organization, the team at JFrog deeply understands the risks of SPOFs and works hard to avoid them.