Operations | Monitoring | ITSM | DevOps | Cloud

AI coding assistants accelerate development but can rapidly introduce vulnerable, malicious, or non-compliant open-source dependencies into your codebase. Harness Artifact Registry's Dependency Firewall acts as a registry-level control point, evaluating and blocking risky external packages before they enter your CI/CD pipeline—essential protection against modern npm-style supply chain attacks.

The Harness MCP Server now connects directly inside Google Antigravity. Developers can link Harness in under two minutes and give the agent structured, real-time access to their pipelines, execution history, services, environments, and policies, without leaving the editor. What makes it reliable isn't the connection itself. It's the Harness Software Delivery Knowledge Graph underneath, which gives the agent the context to act accurately, fast, and within your guardrails. ‍

When a CI pipeline runs on cloud infrastructure, the build machine is ephemeral. It spins up, executes your build, and disappears. During that window, you have zero visibility into how much CPU and memory your pipeline actually consumes. This blind spot creates real problems. Teams over-provision VMs "just in case," wasting compute spend. Others under-provision and deal with silent OOM-kills or CPU throttling — the only clue being a cryptic exit code 137.

Harness has been recognized as a Leader in the 2026 Gartner Magic Quadrant for DevSecOps Platforms for the third consecutive year. Harness was also positioned furthest on the Completeness of Vision axis in the report. Harness has been recognized as a Leader in the 2026 Gartner Magic Quadrant for DevSecOps Platforms for the third consecutive year. Harness was also positioned furthest on the Completeness of Vision axis in the report.

For Platform Engineering teams, the goal has always been clear: build a secure, scalable internal developer platform that reduces cognitive load and accelerates time-to-market. Yet, a massive obstacle often remains hidden in plain sight: the mainframe. While your distributed teams are shipping cloud-native microservices multiple times a day, your core backend mainframe applications frequently remain locked in an isolated silo, lagging behind on slow monthly or quarterly cadences.

The Harness VS Code Extension is now on the Marketplace. Monitor pipelines, debug logs, approve deployments, and query failures with Claude Code, Copilot, or Cursor, without leaving VS Code. Your Harness pipelines, logs, and deployment approvals are now a sidebar panel away inside VS Code. The Harness VS Code Extension is live on the VS Code Marketplace today, no.vsix download, no manual install.

‍ Learn how to master Azure deployment with CI/CD pipelines, progressive delivery, and feature flags. See how Harness helps engineering teams ship faster and safer on Azure. Azure deployment sounds straightforward. Push code, it runs in the cloud. But if you've managed a 2 a.m. production incident because a deployment went sideways on AKS, you know the gap between "it deploys" and "it deploys safely at scale" is significant.

The Shai-Hulud lineage has a new face. On June 1, 2026, security teams independently flagged a fresh supply chain compromise inside the @redhat-cloud-services npm namespace. 32 packages and 96 versions were all republished with a credential-stealing worm. These aren't typosquats. They are the official packages in a trusted scope, pulling somewhere 80,000-117,000 average weekly downloads.

AI coding tools promise faster development. What they don't show you is the queue forming at the pipeline, the security scanner you bypassed to stay fast, or the cost dashboard with a line now labeled "unknown" that is steadily growing. In May, we shipped 60+ features in 31 days across the entire delivery system: not just the editor, but everything downstream of it.

Key Takeaway: The Harness MCP Server is now in the official Claude Connectors Directory. Developers using Claude can now discover and connect to Harness, gaining structured, real-time access to their pipelines, deployments, approvals, and delivery workflows. What makes this different from a typical API integration is what's underneath: the Harness Software Delivery Knowledge Graph, which gives Claude the context it needs to make decisions that are accurate, fast, and safe. ‍