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From Commit to Approval, Without Leaving VS Code | Harness Blog

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.

Optimize Your IT with Ivanti's Autonomous Endpoint Management

Ivanti empowers you to transform your IT operations. With Ivanti's Autonomous Endpoint Management, we deliver complete visibility, a clear financial view to maximize your ROI, and the AI-driven insights you need to operate with absolute confidence. Data is only as good as your ability to act on it. In this video, we dive into the Ivanti AEM Dashboard to show you how a true system of record—powered by AI and Model Context Protocol (MCP)—transforms raw data into actionable IT strategy.

From API to live dashboard - building a SquaredUp plugin with AI

No matter how fast we build, we'll never integrate with every tool. There are too many, new ones appear constantly, and some are too niche to ever reach the top of our roadmap. So if the tool you care about isn't supported yet, your options have been to wait for us to get to it, or build it yourself with our Web API plugin — a powerful, flexible option, though one that asks you to map out the endpoints, authentication and paging yourself.

Building Enterprise Momentum Across APAC: A Conversation with Dave Patnaik

There’s a lot happening across Asia Pacific right now. Enterprises are moving quickly to modernize operations, adopt AI, and manage growing complexity across increasingly distributed environments, and the opportunity ahead for LogicMonitor in the region continues to grow alongside it. That’s why I’m especially excited to welcome Dave Patnaik to LogicMonitor as our new Vice President of APAC.

Coding Agents Write the Code. Who Verifies It Works? We Built the Answer.

Coding agents are good at reading a spec and producing code. But producing code is one step in a longer process. The real loop is Spec -> Code -> Deploy -> Test -> Verify -> Ship. Agents stop at step two. Romaric founded Qovery to make Kubernetes accessible to every engineering team. He writes about platform strategy, developer experience, and the future of cloud infrastructure.

Where AI automation actually earns its place in IT operations

The promise attached to AI in operations has outrun the evidence. The pitch, repeated across keynote stages and vendor decks, is that AI will run your operations: detect, decide, remediate, and close the loop while the on-call engineer sleeps. It is a tidy story. It is also not the one that holds up at three in the morning when a cascading failure is halfway through your fleet.

Search and act across Datadog to resolve issues faster with Bits Chat

Finding the right information across dashboards, monitors, and telemetry sources takes time, even for experienced engineers. When something breaks, it often means figuring out where to start, rebuilding queries, and jumping between metrics, logs, and traces before you can take action. The challenge isn’t a lack of data but the effort required to surface the right information at the right moment.

Works on my machine: how we use AI to reproduce reported bugs

Sentry’s SDK teams maintain and support SDKs for a vast ecosystem of languages and frameworks. See our release registry for a source of truth. We’re currently at 159 published packages across the entire ecosystem. If you use it, we probably support it. All of these SDKs are open source and have their own GitHub repositories that we maintain on a daily basis. And like any other open source project, we get tons of bug reports and issues on these.