Software Huddle

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.

  1. 7월 8일

    Lessons from Transcribing and Indexing 3.5 Million Podcasts with Arvid Kahl

    Big time guest today as Arvid Kahl joins us. Arvid is my favorite type of guest -- a deeply technical founder that can talk about both the technical and business challenges of a startup. Lots to enjoy from this episode. Arvid is known as the Bootstrapped Founder and has documented his path to selling Feedback Panda back in 2019. He's now building Podscan and sharing his journey as he goes. Podscan is a fascinating project. It's making the content of *every* podcast episode around the world fully searchable. He currently has 3.5 million episodes transcribed and adds another 30,000 - 50,000 episodes every day. This involves a ton of technical challenges, including how to get the best transcription results from the latest LLMs, whether you should use APIs from public providers or run your own LLMs, and how to efficiently provide full-text search across terabytes of transcription data. Arvid shares the lessons he's learned and the various strategies he's tried over the years. But there are also unique business challenges. For most technical businesses, your infrastructure costs grow in line with your customers. More customers == more data == more servers. With Podscan, Arvid has to index the entire podcast ecosystem regardless of his customers. This means a lot of upfront investment as he looks to grow his customer base. Arvid tells us how he's optimized his infrastructure to account for this unique challenge.

    1시간 18분
  2. 5월 13일

    It's time to build Jarvis with Kent C. Dodds

    Today we have the excellent Kent C. Dodds on the program. Kent is an amazing teacher in the web development space, and I've learned a ton from him about React, JavaScript testing, and general web dev. Lately, Kent has been going all-in on AI, especially with the model context protocol (MCP) space. He's sharing a ton of useful material in this area as he works on a new course. We spent a lot of time going over what MCP is, why it's useful, and why Kent thinks our own personal Jarvis is the next step. We cover a bunch of other topics too, like what it's like putting on a conference (Epic Web Conf) plus how AI has changed the educational space. Check it out! *Timestamps* 01:12 Start 06:52 The pitch for MCP 14:30 Where does MCP architecturally sit? 17:27 Contrasting with REST 23:07 Should I be building these now? 23:47 Are there any frameworks? 26:31 Why Cloudflare 34:10 MCP Spec 35:35 Authentication 38:29 A2A by Google 41:50 What caught Kent's attention? 44:28 What got Kent interested in React? 46:16 Jarvis 47:44 Frontend Development in the long run 51:44 What needs to get better for this to happen? 57:42 How has AI impacted education landscape? 01:04:46 Like the travel? 01:12:35 App Stack 01:13:48 React Server Components Follow Kent: https://twitter.com/kentcdodds Follow Alex: https://twitter.com/alexbdebrie Follow Sean: https://twitter.com/seanfalconer *Software Huddle ⤵︎* X: https://twitter.com/SoftwareHuddle

    1시간 21분

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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.

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