Your Questions About AI Agents and Production Feedback Answered
On April 1st, I joined Akshay Utture from Augment Code for a webinar on how AI agents use production feedback to improve code.
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Qwen AI Monitoring & Observability with OpenTelemetry and SigNoz
Learn how to monitor your n8n Cloud workflow executions using OpenTelemetry by capturing traces and sending them directly to SigNoz for real-time visibility into performance, errors, and execution flow.
Agentic AI infrastructure: moving beyond Copilots to autonomous operations
The shift from AI copilots to autonomous agents is redefining infrastructure requirements. Discover how to build secure, stateful, and compliant Agentic AI systems using Kubernetes, sandboxing, and observability while meeting EU AI Act standards.
From One Month to One Day: How CloudZero Builds Cloud Cost Connectors at the Speed of AI Adoption
Not long ago, adding a new cost connector to CloudZero was a serious undertaking. We’d task multiple engineers, build in extended review cycles, run a private preview period. But a single connector could take up to two months from kickoff to customer hands. For the major cloud providers, that timeline was acceptable. The size of the investment matched the scale of the integration. But the tools landscape has changed. Our customers’ teams don’t just run on AWS and Azure.
The Runbook Problem: How AURA Documents What Teams Don't Have Time to Write
Runbooks are rarely missing because teams don't value them. They're usually missing because incident response, follow-up, and platform work compete for the same limited time. By the time an issue is resolved, the knowledge is fresh, but the window to document it is already closing. That gap creates familiar failure modes: over-reliance on senior engineers, slower handoffs, and less confidence for whoever is on call next.
Why Your Website's FAQ Page Is Failing Visitors And How AI Search Can Fix It
Your FAQ page should be your hardest-working asset, but it's probably doing the opposite. Instead of guiding visitors, it's slowing them down. People land there with simple questions, face cluttered layouts or outdated answers, and leave without clarity. That frustration doesn't just hurt user experience; it quietly impacts conversions, trust, and even your search visibility. The good news? You don't need a full redesign to fix it. Most FAQ issues come down to relevance, structure, and how easily answers can be found. When those three things break, everything else follows.
Why Connected Platforms Will Power the Next Generation of AI in Engineering | Harness Blog
AI is quickly becoming part of the engineering workflow. Teams are experimenting with assistants and agents that can answer questions, investigate incidents, suggest changes, and automate parts of software delivery. But there is a problem hiding underneath all of that momentum. Most engineering environments were not built to give AI the context it needs. In many organizations, the service catalog lives in one place. Deployment data lives in another. Incident history sits in a separate system.
Komodor Provides Autonomous AI SRE Troubleshooting for ClusterAPI
Cluster API (CAPI) is transforming how organizations deploy and manage fleets of Kubernetes clusters by introducing declarative, Kubernetes-style APIs to automate cluster provisioning and lifecycle management. While CAPI excels at creating consistent and repeatable cluster deployments across different infrastructure providers, operating it at a massive scale introduces unique day-to-day challenges.
Introducing OrionIQ: The End of Manual Observability
OrionIQ is Logz.io’s new agentic observability platform designed to move teams from detecting issues to resolving them automatically. As AI accelerates software development, operations remain manual: engineers still wake up at 2 a.m. to investigate alerts and rebuild context. OrionIQ uses AI agents to analyze real-time telemetry, investigate incidents, identify root causes, and take action across systems.
7 AI productivity lessons from the CTO of Superhuman
Most companies have built AI into their product by now, and many consider it the central feature of what they’re building. But plenty of those same companies are still figuring out how to get their own engineering teams to actually use AI tools day to day. When Loïc Houssier joined Superhuman as CTO in early 2025, his team was in that exact spot. The company had been shipping AI email features for years, but internal adoption of AI dev tools was still early.