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Generating Calculated Fields From Natural Language

Mar 10, 2025 By Molly Stamos In Honeycomb

If you’ve been using Honeycomb for a bit, you know that Calculated Fields (otherwise known as derived columns) are a powerful way to transform your events to a format that’s easier to query and understand. However, they use a lisp-esque language that can be difficult to read and a pain to write. If you dislike making Calculated Fields and want something a little easier, here’s a generative AI prompt that can generate them from natural language.

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Playwright Now Lets You Easily Paste Test Errors into LLMs!

Mar 10, 2025 By Checkly In Checkly

Join Stefan Judis, Playwright ambassador, as he explains how to use Playwright's new "Copy Prompt" button to resolve end-to-end tests with the help of AI.

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Checkly

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Marty Weiner's AI Predictions: What to Expect in the Next 2 Years

Mar 10, 2025 By Civo In Civo

Recorded at Civo Navigate San Francisco 2025, Marty Weiner, co-founder of VerifyYou and former CTO of Reddit, delivers a shocking talk on the current state of AI and its rapid progression. From its impact on various industries to its potential effects on the economy and job market, Marty explores the exciting and terrifying aspects of AI. He also discusses the concept of AGI and its potential implications for civilization. Watch to learn more about the future of AI and what it means for humanity.

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How to Analyze Logs Using AI

Mar 8, 2025 By James Yaria In LogicMonitor

Your tech stack is growing, and with it, the endless stream of log data from every device, application, and system you manage. It’s a flood—one growing 50 times faster than traditional business data—and hidden within it are the patterns and anomalies that hold the key to the performance of your applications and infrastructure. But here’s the challenge you know well: with every log, the noise grows louder, and manually sifting through it is no longer sustainable.

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AI Agents: Your data sidekick (minus the coffee breaks)

Mar 7, 2025 By Jade Lassery In logz.io

Do you ever wish you had a personal data guru who could magically sift through all your data, spot patterns before they become problems, summarize everything in a way that actually makes sense and propose recommendations? Well, meet AI Agents—the “digital teammates” who do all that without demanding coffee breaks.

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Zebra Companion - Introducing AI for the Frontline | Zebra

Mar 6, 2025 By Zebra Technologies In Zebra Technologies

Whether it’s locating assets in the backroom, identifying mislabeled or expired products, or answering questions about return policies, Zebra Companion expands the possibilities for frontline staff. Learn how new employees can perform with the efficiency of seasoned staff, enhancing customer satisfaction and streamlining store operations.

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How AI broke serverless and what to do about it with Vercel's Mariano Fernández Cocirio

Mar 6, 2025 By Rootly In Rootly

Mariano, Staff Product Manager at Vercel, explains why serverless architectures are hitting unexpected limits—they’re too fast. The industry has spent millions optimizing serverless for speed, but AI workloads are changing the game. In the AI realm, slower execution often leads to better results. The challenge? Paying for all that idle compute time while waiting for AI responses.

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Rootly

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Will DevOps as We Know It Survive the AI Revolution?

Mar 6, 2025 By Civo In Civo

Is DevOps on the brink of extinction? Solomon Hykes, co-founder of Docker and CEO of Dagger.io, explores how AI agents are transforming software development—not just writing code but shipping it. In this talk at Civo Navigate San Francisco 2025, Solomon retraces the history of software’s industrial revolution and examines whether AI will replace DevOps engineers or empower them. With live demos and expert insights, he reveals what’s next for the software factory and the future of platform engineering.

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Simulating artificial intelligence service outages with Gremlin

Mar 6, 2025 By Andre Newman In Gremlin

The AI (artificial intelligence) landscape wouldn’t be where it is today without AI-as-a-service (AIaaS) providers like OpenAI, AWS, and Google Cloud. These companies have made running AI models as easy as clicking a button. As a result, more applications have been able to use AI services for data analysis, content generation, media production, and much more.

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Does AI Help Write Better Software, or Just... More Code?

Mar 5, 2025 By Fahim Zaman In Honeycomb

As software teams race to integrate AI into their development workflows, we need to ask ourselves: are AI-powered tools actually making software better? The latest research from DORA confirms what many engineers have long suspected, and what we at Honeycomb have said for a long time: AI tools don’t magically lead to better software. In fact, without careful implementation, AI can introduce a whole slew of challenges, including decreased productivity and unreliable code.

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