The Logic of AI: Why Machines Don't Think, They Reason
Automation revealed truth. AI extends it. Machines don’t invent knowledge. They reason from verified data. The result is operational foresight that’s traceable, explainable, and trusted.
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Context Engineering: How Dev Teams 10x Productivity with AI
Context engineering isn't just an AI buzzword. It's how high-performing dev teams are transforming productivity at scale. Chris Geoghegan, VP of Product at Zapier, breaks down why individual AI gains don't compound and what your team needs to do instead.In this GitKon session, learn how to.
AI reliability changes how you watch your systems
In this clip from an AI roundtable with Gremlin, Nobl9, and PagerDuty, Mandi Walls talks about how AI shifts how you watch your systems to keep them reliable.
Michael Burry Warns of Artificially Inflated Earnings
On November 10, 2025, Michael Burry, the investor famous for predicting the 2008 subprime mortgage crisis and featured in the film "The Big Short," posted on X, accusing American big tech giants of inflating their earnings. The criticism centers on a widespread accounting practice among companies that have invested in AI: the artificial extension of the useful life of IT equipment, primarily Nvidia GPUs, to mitigate the impact of depreciation on corporate balance sheets.
How companies are using Civo GPUs to accelerate AI innovation without runaway costs
Accessing high-performance GPUs shouldn’t feel like a bottleneck. Yet, as AI adoption accelerates, many teams are discovering that hyperscaler offerings often come with a hidden price: long wait times, opaque billing, and layers of unnecessary complexity. At Civo, we’ve seen a different way. Our GPUs enable companies to move faster while keeping infrastructure overhead and costs firmly under control.
How to Ensure AI-Generated Code is Reliable with Runtime Context
TLDR: AI coding assistants have sped up code delivery, but created a validation gap. Historic telemetry and static analysis cannot predict the behavior of unfamiliar, high-volume code. Lightrun’s Runtime Context MCP closes that gap, allowing AI assistants to verify behavior before it breaks, and resolve issues in real time.
Beyond the Hype: Building a Future-Proof Foundation for the AI-Native Enterprise
We are witnessing a fundamental transformation in how software is built. The industry has moved beyond the experimental phase of Machine Learning Operations and entered a complex new reality: the era of the AI Software Supply Chain. The adoption metrics confirm this shift is irreversible. Google reports that 90% of tech workers are now using AI as part of their daily work. Similarly, McKinsey data reveals that 88% of organizations use AI in at least one business function.
Build custom apps in seconds with conversational AI in App Builder
Using a drag-and-drop interface, engineering teams can create apps that support troubleshooting, improve day-to-day operations, and offer self-service access without leaving Datadog. With the new conversational AI feature, teams can turn an idea into a working app in seconds. Watch the video to see how it works..
Poisoning the Well: The Invisible Danger in Your AI Supply Chain
Welcome to the AI research bites. This series of short and informative talks showcases cutting-edge research work from ServiceNow AI Research team. The AI Research Bites are open to all, especially those interested in keeping up with the fast-paced AI research community.
Resolve Webinar clip: Scaling Autonomous Operations with Agentic AI #aiautomation #itautomation
From our webinar: Scaling Autonomous Operations with Agentic AI Learn why manual service desks don’t scale and how autonomy actually works.