Operations | Monitoring | ITSM | DevOps | Cloud

Introducing Ergo: explainable policies on OPA

When an auditor tests a control, they ask two questions about each change: was the control met, and what evidence shows how that result was reached? Most automated controls can answer the first. A Rego policy returns allow: true or allow: false, but says nothing about what it checked. Engineers can hand-write violation messages to explain a failure, but a passing check leaves no record at all. When an auditor asks how a change passed, someone has to reconstruct the answer.

Harness Launches VegaLoad: Open-Source Load Testing for Agentic Developers

VegaLoad is a free, open-source load testing tool for agentic developers. Your agent writes the test, runs it, and gives you a report. VegaLoad is a free, open-source load testing tool. You ask your agent for a test. It writes the file, runs it, and gives you a report.

Introducing AI Budgets: A Policy You Can Watch Work

AI Budgets turns an AI cost policy into a limit customers can watch hold in real time, so overspend gets caught within days instead of surfacing on next month's invoice. With AI Budgets, the Cost Management Agent turns your AI cost policy from a document everyone signed once and forgot into a limit you can see working. ‍ In our last post, we showed why 73% of organizations have an AI cost policy, but only 13% can tell whether it's working.

GitLens 19.4: Explore the Commit Graph Without an Account

GitLens 19.4 makes it easier to get into your repository, understand your Git history, and start working without extra setup. The biggest change is simple: the Commit Graph is now available without a GitKraken account for public and local repositories. Open GitLens, open the Graph, and start exploring. No sign-in required. For private repositories, GitLens also gives you a 3-day preview of the Commit Graph without requiring an account, so you can experience the workflow before deciding what comes next.

Scout Trails Is in Beta: See What Your AI Coding Agents Are Doing

session start tool call tool call cost outcome AI coding agents have quietly become part of most engineering teams. They open files, run commands, call tools, and push changes, often for hours at a time. Yet when you want to know what an agent actually did, the answer usually lives in one developer’s terminal history, and it disappears when that session closes.

BigPanda has been recognized as a Niche Player in the 2026 Gartner Magic Quadrant for AI Applications in IT Service Management report

On August 17, Gartner placed BigPanda in the Niche Players quadrant of the 2026 Gartner Magic Quadrant for AI Applications in IT Service Management (ITSM). It’s our first time on this MQ, after an honorable mention last year. I’m glad we’re there, and I want to explain why a company that doesn’t sell an ITSM platform reads that as a strong result.