Software Huddle

Join Alex DeBrie and Sean Falconer in insightful and in-depth interviews with tech experts, covering software development, entrepreneurship, and technology trends. Alex is the author of The DynamoDB Book and a DynamoDB expert as well as AWS Data Hero. Sean Falconer has over 20 years of experience working in research and technology as an engineer, founder, and marketing executive. Sean is a Snowflake Data Superhero. For more on Software Huddle, visit softwarehuddle.com or contact team@softwarehuddle.com.

Software Huddle is a technology podcast hosted by Unknown Host, with 79 episodes on record and a Required Pod Score of 80. PitchCentric scores this show on Booking Probability, Listen Score, and live audience signals refreshed every 24 hours.

Unknown Host hosts Software Huddle, a technology show with 79 episodes published.

Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.

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  Software Huddle

  AI and Proactive Reliability with Kolton Andrus

  Apr 8, 202655 minS0

  <p>Today we're talking with Kolton Andrus, the Founder and CEO of Gremlin, about what happens to reliability when AI is writing most of the code. Kolton helped build the Chaos Engineering practice of both Amazon and Netflix before starting Gremlin.</p> <p>In our conversation we talk about scar tissue, the intuition engineers develop from being woken up at 3:00 AM to fix production outages and how AI doesn't have any of it. It generates code in an afternoon that maybe took a team previously weeks to build, but none of those painful lessons come along for the ride.</p> <...

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  Software Huddle

  Making Data Agent Ready with Andre Elizondo

  Mar 26, 202652 minS0

  <p>Today we are talking with Andre Elizondo, the Director of Innovation at Mezmo about their open source agentic harness for SREs called AURA. Mezmo got their start handling observability data at scale. Logs, traces, metrics, the usual stuff. AURA is their answer to a growing problem, as system complexity outpaces humans' ability to make sense of all that data, how do you actually make it actionable for AI agents? We get into their approach to context engineering, essentially making data agent ready before it hits the model. Why they built their own orchestrator in Rust? How they handle memory...

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  Software Huddle

  Exponential Engineers with Ashmeet Sidana

  Jan 9, 202653 minS0

  <p>Today on the show, we have a special guest — Ashmeet Sidana, the founder of Engineering Capital. Ashmeet started his career as an engineer at some great companies like Hewlett-Packard and Silicon Graphics before founding his own company, getting it acquired, and eventually starting his venture capital firm, Engineering Capital. With his strong engineering background, Ashmeet looks for startups that have a technical insight — something unique that gives them an edge over their competitors. This focus on technical insight sets Engineering Capital apart from other VC firms that often emphasize market insight or distribution insight or some other kind of adva...

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  Software Huddle

  Powered by Neurons with Ewelina Kurtys

  Sep 16, 202543 minS0

  <p>Today we have Dr. Ewelina Kurtys on the show. Ewelina has a background in Neuroscience and is currently working at FinalSpark. </p> <p>FinalSpark is using live Neurons for computations instead of traditional electric CPUs. The advantage is that live Neurons are significantly more energy efficient than traditional computing, and given all the energy concerns right now with regards to running AI workloads and data centers, this seems quite relevant, even though bioprocessors are still very much in the research phase. </p>

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  Software Huddle

  Lessons from Building AI Agents with Rafal Wilinski

  Aug 12, 20251h 9mS0

  <p>Today we're talking with one of our favorite engineers, Rafal Wilinski. Rafal has been on the cutting edge of AI development in the last few years as he has led AI teams at Zapier and Vendr. Rafal walks us through the hard-won lessons about actually integrating AI tools into the applications you're building. One of the hardest things in integrating these AI tools is how to ensure you're getting better and not regressing as you improve your prompts and upgrade your models. He shows how using evals is one part of the story along with deeply investigating customer signals...

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