Operations | Monitoring | ITSM | DevOps | Cloud

Auto-Generate Tests for Your Codebase with AI (CircleCI Chunk Tutorial)

Apr 16, 2026 By CircleCI In CircleCI
AI coding tools help you ship features faster than ever, but test coverage often can't keep up. In this video, we show you how CircleCI's Chunk autonomous CI/CD agent finds untested code in your codebase, writes tests to cover it, and opens a pull request for your review. What you'll learn: Chunk works directly inside your CI/CD pipeline, giving it access to your build history, test results, and coverage reports. That means smarter tests, not just more tests.
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Sentry Built AI Dashboards: Monitor Your AI Agents End-to-End

Apr 16, 2026 By Sentry In Sentry
Building AI applications? There's a lot more to monitor beyond errors. With tracing enabled, Sentry's built-in AI Dashboards give you deep visibility into how your agents are actually performing. This video walks through three key dashboard views: You'll also see how to drill from a dashboard widget straight into the trace explorer to pinpoint the root cause of errors, how to duplicate and customize dashboards to fit your needs, and how to set up monitors with alert thresholds - like getting notified if your LLM calls exceed 20 seconds.
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In the Age of AI, Taste Isn't About Aesthetics

Apr 16, 2026 By Rootly In Rootly
AI can generate a UI in seconds. So what do designers actually bring to the table? Marcela, Principal Product Designer at Rootly and former Founding Designer at Ramp, has spent 20 years in design. Her answer: taste isn't about aesthetics or crafting pleasant interactions. It's about asking the uncomfortable questions, and choosing the right problem, not the easiest one.
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logicmonitor

The Edwin AI Agent Orchestrator: Coordinated Incident Investigation Across the Tools You Already Use

Apr 16, 2026 By LogicMonitor In LogicMonitor
Edwin AI’s Agent Orchestrator keeps incident investigation, context, and response aligned as work moves across tools, eliminating the manual handoffs that slow resolution. Every major incident has two timelines running in parallel. The first is the incident itself—services degrading, users affected, business impact accumulating. The second is quieter and just as costly: engineers switching tabs, re-explaining context to new responders, moving notes from one tool to another by hand.
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AI for Everything After Code: Ship Fast, Stay Safe

Apr 16, 2026 By Harness In Harness
Recorded at @DevOpsLive Most teams have “done DevOps” and “built a platform,” but still wrestle with the same core problems: platforms that developers dodge, AI that accelerates coding while quietly degrading delivery performance, security and compliance that can’t keep up, cloud bills that keep climbing, and incident response that hasn’t caught up with cloud‑native complexity.
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pagerduty

PagerDuty Invests in the AI-First Operations and Resilience of Healthcare and Crisis Response Organizations

Apr 16, 2026 By Debbie O'Brien In PagerDuty
At PagerDuty, we believe operational excellence and social impact are inseparable. As AI rapidly transforms how nonprofits operate, our AI and agentic technology empower mission-driven teams to automate complexity and focus their limited resources on what matters most: delivering reliable services that create meaningful impact at scale.
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sentry

Debugging multi-agent AI: When the failure is in the space between agents

Apr 16, 2026 By Sergiy Dybskiy In Sentry
I've been building a multi-agent research system. The idea is simple: give it a controversial technical topic like "Should we rewrite our Python backend in Rust?", and three agents work on it. An Advocate argues for it, a Skeptic argues against, and a Synthesizer reads both briefs blind and produces a balanced analysis. Each agent has its own model, its own tools, its own system prompt. It worked great in testing. Then I noticed the Synthesizer kept producing analyses that leaned heavily toward one side.
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What Parents Should Know About AI Essay Grader Tools

What Parents Should Know About AI Essay Grader Tools

Apr 16, 2026 By OpsMatters In OpsMatters
Artificial intelligence is showing up in more classrooms than ever before, and parents are right to have questions. One area that has grown quickly is AI-powered writing assessment. Schools and teachers are increasingly turning to automated tools to help manage the workload of grading student essays, and while this might sound like a behind-the-scenes administrative change, it directly affects how your child receives feedback on their writing. Understanding what these tools do, how they work, and what they cannot do will help you stay informed and involved in your child's education.
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