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redgate

Building dbRosetta Using AI: Part 2, Defining the Project & Prompt Templates

Nov 5, 2025 By Grant Fritchey In Redgate
This is the next installment of the series on building a database and an application called dbRosetta using AI/LLM. Part 1 introduces the concept. THE AI PICKED DATABASE FIRST! Look, I talk databases at this thing a lot, so it probably knows my own preference, but when I asked it, it chose to build a database separate from the code. Let’s get into it.
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last9

What Are AI Guardrails

Nov 5, 2025 By Anjali Udasi In Last9
When you're shipping LLM features, a lot of the work goes into keeping the model's behavior predictable. You deal with questions like: These are everyday concerns when you integrate LLMs into production systems. Guardrails AI provides a Python framework that helps you enforce those expectations. You define the schema or constraints you need, and the framework validates both the inputs going into the model and the outputs coming back.
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Can a Human Beat Grafana's AI at Its Own Game?

Nov 5, 2025 By Grafana In Grafana
Grafana Assistant just went GA at ObservabilityCON, and it’s already changing how developers onboard, troubleshoot, and build dashboards in Grafana Cloud. In this video, we put it to the ultimate test — a head-to-head challenge between me and the Grafana Assistant. Who can onboard an app into Grafana Cloud faster and more accurately? Chapters: Watch as we explore: How the Grafana Assistant simplifies onboarding and setup Building dashboards for Redis, Kafka, and Postgres The power of using community dashboards vs. manual configuration Whether AI can truly speed up observability workflows.
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raygun

Transform your workflow with Raygun's remote MCP

Nov 4, 2025 By Reilly Oldham In Raygun
We're happy to announce Raygun's new remote MCP server, giving AI tools direct access to live error data so they can investigate issues, surface root causes, and take action with real context, not guesses. It's been nearly a year since Anthropic released the Model Context Protocol (MCP), and a lot has changed in the AI space. Since then, almost all major players now support MCP, allowing them to tap into the massive and ever-expanding catalogue of MCP servers. When MCP first launched, we shipped our own Raygun MCP within 48 hours of the spec dropping, which was an early step toward giving LLMs visibility into Raygun data.
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Breaking down AI adoption barriers feat. Ivanti's Scott Hughes

Nov 4, 2025 By Ivanti In Ivanti
ivanti.com/itsm-automation Unlock the secrets to successful Agentic AI deployment and widespread AI adoption in your organization with insights from Scott Hughes, SVP of Revenue Operations and Corporate IT at Ivanti. This video explores why IT-business alignment is critical, the importance of high-quality data, and how legacy infrastructure poses challenges for effective AI integration. Key insights.
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Building Smarter AI Products #Datadog #DASH #AI

Nov 4, 2025 By Datadog In Datadog
AI capabilities are advancing faster than ever — transforming how teams design, build, and ship intelligent products. In this teaser from Building Successful AI-powered Products at Datadog DASH, experts discuss the rise of agent-based systems, evolving model capabilities, and how to stay ahead in the new era of automation.
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honeycomb

Coffee and Claude: How Honeycomb MCP Makes AI Work for You

Nov 4, 2025 By Rox Williams In Honeycomb
If you caught our recent Introducing Honeycomb MCP: Your AI Agent’s New Superpower webinar, you know it was a lively mix of big ideas, demos, and a few laughs about the messy, fast-moving world of AI. Hosted by Austin Parker, Morgante Pell, and James Bland from AWS, the conversation explored how Honeycomb’s new Model Context Protocol (MCP) is changing the way developers and AI agents interact with data.
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Densify

How to Optimize GPU

Nov 4, 2025 By Densify In Densify
The Problem: AI workloads are dynamic, unpredictable, and expensive. Data prep can choke your pipeline, training jobs hog GPUs without awareness, and inference, the most latency-sensitive phase, is notoriously hard to scale efficiently. Worse, traditional infrastructure tools treat GPU as a static commodity, ignoring model intent, workload shape, and sharing capabilities.
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Orbital Materials: WorldClass AI Models Built on CivoStack

Nov 4, 2025 By Civo In Civo
Daniel Miodovnik, COO of Orbital Materials, explains how the CivoStack enables world‑class AI models that outperform the big‑tech giants. He outlines the power‑draw and cooling of megawatt‑scale GPU racks, the water‑ and CO₂‑intensity of today’s data centres, and why a sovereign, Civo‑based solution is the key to speed, and predictable costs.
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Bridging the Gap Between AI Writing and Human Expression

Bridging the Gap Between AI Writing and Human Expression

Nov 4, 2025 By OpsMatters In OpsMatters
Never before has AI dominated the content we read every day as much as today. As each day passes, the online and offline worlds are being filled with AI writing, and soon, it will become difficult to find the human touch in any content. With AI being so prevalent, it has raised an important question: Will the human essence in writing just disappear as we let AI generate more and more writing each day? Does it really have to be an ongoing fight between human creativity and machine algorithms?
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