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Elastic bandwidth and the future of AI-driven networks

May 29, 2025 By Shaheen Kalla In Console Connect

In this employee spotlight blog, Shaheen Kalla, Presales Team Lead, explores what the future of AI in networking may hold and the possibilities it presents. So much has been written about AI in the context of software engineering, machine learning, and data manipulation - especially where large datasets are involved. However, very little has been explored when it comes to AI from a networking perspective.

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Console Connect

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End-to-end testing and deployment of a multi-agent AI system with Docker, LangGraph, and CircleCI

May 29, 2025 By Benito Martin In CircleCI

Multi-agent AI systems are transforming how intelligent applications are built. By orchestrating multiple specialized agents that collaborate to solve complex tasks, these systems enable more dynamic and efficient workflows. However, deploying such a system reliably and at scale requires a structured approach to testing, packaging, and automation.

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CircleCI

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Honeycomb MCP: Performance Problem to Code Fix

May 28, 2025 By Honeycomb In Honeycomb

Integrate your AI agent with Honeycomb, and it can run queries to find problems, then get right into the code to fix it.

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Honeycomb

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Honeycomb MCP: Code to Production Impact

May 28, 2025 By Honeycomb In Honeycomb

Right from your IDE, find out how long your code talked to execute in production. If your AI agent speaks Model Context Protocol, it can query Honeycomb for you!

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Honeycomb

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Detect hallucinations in your RAG LLM applications with Datadog LLM Observability

May 28, 2025 By Barry Eom In Datadog

Hallucinations occur when a large language model (LLM) confidently generates information that is false or unsupported. These responses can spread misinformation that jeopardizes safety, causes reputational damage, and erodes user trust. Augmented generation techniques, such as retrieval-augmented generation (RAG), aim to reduce hallucinations by providing LLMs with relevant context from verified sources and prompting the LLMs to cite these sources in their responses.

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Datadog

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Why we vibe coded a marketing campaign for Anthropic

May 28, 2025 By Tom Wentworth In Incident.io

Let’s start with the obvious: we’d like to have Anthropic as a customer. We greatly admire the work they are doing at the intersection of frontier models + safety. We use lots of different AI tooling at incident.io. We’re all-in at AI at incident.io, both to improve the productivity of our internal team and, more importantly, to provide our customers with superpowers in the form of an AI incident responder.

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Incident.io

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MCP server: Automated test coverage

May 28, 2025 By CircleCI In CircleCI

Learn about a new feature using CircleCI's MCP server that brings automated test coverage to AI-enabled applications. Using a simple React app, the MCP server scans for AI prompts, recommends tests, and writes them directly into your codebase. Watch how you can: Now you can test and ship with confidence—right from your IDE or CI pipeline.

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CircleCI

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MCP server: Trigger pipelines with natural language

May 28, 2025 By CircleCI In CircleCI

Triggering pipelines just got easier. Watch how you can use natural language and AI in CircleCI to kick off builds—no config editing required.

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CircleCI

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Remote Work in 2025: Data-Backed Trends Shaping the Future of Work

May 28, 2025 By OpsMatters In OpsMatters

The landscape of work has undergone a seismic shift, with remote work evolving from a pandemic-driven necessity to a permanent fixture in the global economy. By 2025, remote work is not just a perk but a strategic cornerstone for businesses and employees alike. Backed by recent data, this article explores the key trends shaping the future of remote work, offering insights into how technology, workforce preferences, and organizational strategies are redefining the workplace. From hybrid models to cybersecurity demands, these trends highlight the opportunities and challenges of remote work in 2025.

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OpsMatters

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What Is AlmaKnowledge?

May 27, 2025 By Almaden AI In Almaden AI

Almaden proudly introduces AlmaKnowledge, a powerful new feature of the Collective IQ Business Edition platform. Unlike implementations of generative AI that rely only on trained models, AlmaKnowledge is purpose-built to embody and present enterprise-specific information. It works seamlessly with the AlmaAI capabilities in Collective IQ to enhance IT decision-making by leveraging enterprise information alongside industry data used by trained generic AI models such as ChatGPT. This provides deeper, faster, and more accurate insights for IT professionals and other departments which rely on IT's insights and recommendations.

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