Sr. Content Developer at Microsoft, working remotely in PA, TechBash conference organizer, former Microsoft MVP, Husband, Dad and Geek.
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Containers are easy—moving your legacy system off your VM is not

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Ryan sits down with Dan Ciruli, VP and General Manager of Cloud Native at Nutanix, to talk about getting your virtual machines and Kubernetes to play nice in cloud-native environments, why VMs are still relevant in enterprise applications, and how AI can help modernize legacy systems.
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alvinashcraft
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Pennsylvania, USA
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GPT-5.1 Recasts the AI Race Around Predictability

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OpenAI's GPT-5.1 emphasizes control and adaptability over pure performance, marking a shift in AI model development
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alvinashcraft
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Cursor CEO Warns Vibe Coding Builds 'Shaky Foundations' That Eventually Crumble

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Michael Truell, the 25-year-old CEO and cofounder of Cursor, is drawing a sharp distinction between careful AI-assisted development and the more hands-off approach commonly known as "vibe coding." Speaking at a conference, Truell described vibe coding as a method where users "close your eyes and you don't look at the code at all and you just ask the AI to go build the thing for you." He compared it to constructing a house by putting up four walls and a roof without understanding the underlying wiring or floorboards. The approach might work for quickly mocking up a game or website, but more advanced projects face real risks. "If you close your eyes and you don't look at the code and you have AIs build things with shaky foundations as you add another floor, and another floor, and another floor, and another floor, things start to kind of crumble," Truell said. Truell and three fellow MIT graduates created Cursor in 2022. The tool embeds AI directly into the integrated development environment and uses the context of existing code to predict the next line, generate functions, and debug errors. The difference, as Truell frames it, is that programmers stay engaged with what's happening under the hood rather than flying blind.

Read more of this story at Slashdot.

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AGL 449: Rafsan Bhuiyan

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About Rafsan

Rafsan Bhuiyan is a trailblazing U.S. Army veteran turned enterprise AI strategist, whose journey from battlefield discipline to cutting-edge innovation has redefined revenue operations for global businesses. As the Founder and CEO of OrionQ, he leads the charge in developing agentic AI platforms tailored for telecom and automotive dealerships—unlocking billions in untapped revenue through seamless automation and CRM integration. Under his vision, OrionQ isn’t just software; it’s a force multiplier that empowers sales teams to scale smarter, faster, and more humanely.

A proud graduate of Colorado Technical University with a deep-rooted passion for data science and software development, Rafsan has channeled his technical prowess into real-world impact. From overcoming gritty challenges in the POS service industry to coaching leaders on AI adoption, he’s built a reputation as one of the top voices in artificial intelligence. His insights have graced platforms like Authority Magazine, where he recently shared C-suite wisdom on balancing AI’s power with human intuition, and his Medium writings inspire aspiring data scientists to pursue fulfilling, productive lives.

Beyond the boardroom, Rafsan is a devoted dad, an avid growth coach, and an unyielding advocate for ethical AI that amplifies—not replaces—the human spark. Whether dissecting the $3 trillion enterprise revenue opportunity or sharing war stories from his military days, Rafsan’s blend of grit, geekery, and genuine curiosity makes him the ultimate podcast guest for anyone navigating the AI revolution. Tune in as he demystifies the future of work, one breakthrough at a time.


Today We Talked About

  • background
  • Army
  • AI
  • Why make it easy for people.
  • Know your people
  • UI is not meant for the AI era
  • The world is changing, and we should change with it
  • LLMO – The next version of SEO
  • What are some of the prompts that get business’s discovered?
  • Human Way to AI

Connect with Rafsan


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I hope you enjoyed this show, please head over to Apple Podcasts and subscribe and leave me a rating and review, even one sentence will help spread the word.  Thanks again!





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Episode 552: Tech Strategy: Past, Present, Future

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This week, Brian Gracely joins to dissect strategic choices made by Broadcom, Docker, Netflix and Intel. Plus: The AI Bifurcation—are models commodities or product pillars?

Rundown

Conferences

  • cfgmgmtcamp 2026, February 2nd to 4th, Ghent, BE.
    • Coté speaking and doing live SDI with John Willis.
  • DevOpsDayLA at SCALE23x, March 6th, Pasadena, CA
    • Use code: DEVOP for 50% off.
  • Devnexus 2026, March 4th to 6th, Atlanta, GA.
  • Whole bunch of VMUGs, mostly in the US. The CFPs are open, go speak at them! Coté speaking in Amsterdam.
    • Amsterdam (March 17-19, 2026), Minneapolis (April 7-9, 2026), Toronto (May 12-14, 2026), Dallas (June 9-11, 2026), Orlando (October 20-22, 2026)

SDT News & Community

Photo Credits

Special Guest: Brian Gracely.





Download audio: https://aphid.fireside.fm/d/1437767933/9b74150b-3553-49dc-8332-f89bbbba9f92/4c84fc6b-a1aa-434b-a06d-3025b7922ce6.mp3
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Beyond Win Rates: How Spotify Quantifies Learning in Product Experiments

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Spotify has introduced the Experiments with Learning (EwL) metric on top of its Confidence experimentation platform to measure how many tests deliver decision-ready insights, not just how many “win.” EwL captures both the quantity and quality of learning across product teams, helping them make faster, smarter product decisions at scale. The outcome must support one action: ship, abort, or iterate.

By Olimpiu Pop
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