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Tips and prompts for developers using the Cortex MCP

Aug 15, 2025 By Cortex In Cortex

AI coding assistants are already transforming how developers work, helping them write code faster, answer tough questions, and automate repetitive tasks. It’s exciting, it’s powerful… and it’s just the beginning. Cortex MCP connects your AI assistant directly to your live service data, ownership, and organizational standards so it can give accurate, context-rich answers right in your IDE.

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ilert AI Voice Agent: Deep dive

Aug 15, 2025 By Jan Arnemann In iLert

‍ The ilert AI Voice Agent is designed to transform how on-call engineers handle urgent calls. Instead of waking engineers at 3 a.m. with minimal context, the AI Voice Agent collects essential details first and routes calls intelligently based on relevant, up-to-date information. ‍ The agent works hand in hand with ilert’s Call Flow Builder – a visual tool that lets users design custom call flows by connecting configurable nodes.

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Save time with our new AI-focused CLI Commands

Aug 15, 2025 By Chris Griffing In GitKraken

Our CLI team has been cooking up some awesome new AI functionality that we think you will love. The latest release includes several new commands such as changelog, commit, pr, and a command to check the remaining tokens on your subscription. They are all nested under a new top level command, gk ai.

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Real-World Use Cases for Natural Language Copilots

Aug 15, 2025 By Dallon Robinette In Selector

Natural language copilots are one of the most exciting developments in AI for network operations. They allow engineers and operators to query complex environments in plain language rather than memorizing obscure CLI commands or digging through multiple dashboards. But here’s the truth: a copilot is only as good as the AI behind it. Without a purpose-built network LLM, a copilot can’t deliver the accuracy, context, and speed that real-world IT operations demand.

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AI Cost Optimization At Scale: How One CloudZero Customer Manages Spend Across 50+ LLMs

Aug 15, 2025 By David Aponovich In CloudZero

AI adoption isn’t just accelerating, it’s compounding. From GPT-5 to Claude to Llama and beyond, engineering teams are integrating diverse LLMs across products, experiments, and services. And finance teams are now grappling with a new kind of cloud complexity: token-based economics and volatile inference costs, often spread across multi-model, multi-cloud, and multi-region architectures. The modern FinOps stack needs to keep up. CloudZero was built for this moment.

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Cortex MCP set up

Aug 15, 2025 By Cortex In Cortex

Learn how to set up the Cortex MCP in under 5 minutes. The MCP integrates directly into your IDE, giving instant access to Cortex data without leaving your coding environment. It reduces context switching by enabling natural questions about services and teams, and streamlines workflows with real-time data from Cortex, Jira, GitHub, and more.

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How Thundr Uses AI to Create High Quality 1-on-1 Chats

Aug 15, 2025 By OpsMatters In OpsMatters

People desire honest, interesting, and personal communication in today's fast-paced digital world. Most of the time, traditional online chat services fail to provide users with the depth and connections they desire. Thundr is different from other companies in that it utilizes cutting-edge AI to enhance discussions for both parties. The program makes every connection more engaging than a random chat service by placing a strong emphasis on personalization and user safety. Integrating these features on the platform enables this improvement.

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What is an AI Agent? Understanding the Future of Intelligent Automation

Aug 15, 2025 By OpsMatters In OpsMatters

In today's fast-paced digital world, the term AI agent is becoming increasingly common - but what does it really mean? Whether you're a tech enthusiast, a business owner, or just curious about artificial intelligence, understanding AI agents can help you stay ahead of the curve.

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Is My Paper Human? The Top 6 AI Checkers for Students to Verify Their Work

Aug 15, 2025 By OpsMatters In OpsMatters

AI detectors are everywhere in classrooms and submission portals. Students need clear, practical guidance that explains strengths and limitations. Use this guide to pick a checker and interpret results responsibly. You will learn how these systems work at a high level. You will also see a realistic look at accuracy, false positives, and appeals. Each tool section ends with a quick verdict for fast decisions.

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Inside the Coralogix AI Center: Solving AI's Silent Failure Crisis

Aug 14, 2025 By Andre Scott In Coralogix

Observability has always answered one core question: Is it running? But in the era of LLMs, autonomous agents, and AI-powered workflows, that’s no longer enough. We need to ask a harder, scarier question: Is it right? And right now, most teams can’t answer that. Let’s fix it. In our last post, “The AI Monitoring Crisis No One’s Talking About,” we outlined why prompt injection, hallucinations, and context drift create invisible failures.

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