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The Changelog: Software Development, Open Source

The best, worst codebase (Interview)

Wed, 18 Sep 2024

Description

Jimmy Miller talks to us about his experience with a legacy codebase at his first job as a programmer. The codebase was massive, with hundreds of thousands of lines of C# and Visual Basic, and a database with over 1,000 columns. Let's just say Jimmy got into some stuff. There's even a Gilfoyle involved. This episode is all about his adventures while working there.

Audio
Transcription

Full Episode

24.175 - 42.507 Unknown

What's up friends. Welcome back. This is the change log on this show. We talked to the hackers, the leaders, and those working on the best worst code bases. Oh my gosh. Today we're joined by Jimmy Miller to discuss his experience working with a legacy code base. at his first job as a programmer.

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42.867 - 69.99 Unknown

The code base was massive, hundreds of thousands of lines of C sharp and visual basic and a database with over 1000 columns. Let's just say Jimmy got into some stuff. There's even a Guilfoyle involved. And today's episode is all about Jimmy's adventures while working there. A massive thank you to our friends and our partners over at fly.io. Yes, that's the home of changelog.com.

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70.01 - 106.608 Unknown

Launch your apps, launch your databases, and even launch your AI near your users. Fly is the public cloud built for developers who ship. Launch your app in five minutes at fly.io. Okay, let's do this. What's up, friends? I'm here with a new friend of ours over at Assembly AI, founder and CEO Dylan Fox. Dylan, tell me about Universal One. This is the newest, most powerful speech AI model to date.

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106.888 - 108.75 Unknown

You released this recently. Tell me more.

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109.19 - 128.473 Dylan Fox

So Universal One is our flagship industry leading model for speech to text and various other speech understanding tasks. So it's about a year long effort that really is the culmination of like the years that we've spent building infrastructure and tooling at assembly to even train large scale speech AI models.

128.493 - 138.355 Dylan Fox

It was trained on about 12 and a half million hours of voice data, multilingual, super wide range of domains and sources of audio data. So it's super robust model.

138.635 - 151.965 Dylan Fox

We're seeing developers use it for extremely high accuracy, low cost, super fast speech to text and speech understanding tasks within their products, within automations, within workflows that they're building at their companies or within their products.

152.346 - 168.978 Unknown

Very cool. So Dylan, one thing I love is this playground you have. You can go there, assemblyai.com slash playground, and you can just play around with all the things that is assembly. Is this the recommended path? Is this the try before you buy experience? Look, people do?

169.339 - 190.312 Dylan Fox

Yeah. So our Playground is a GUI experience over the API that's free. You can just go to it on our website, assemblyai.com slash Playground. You drop in an audio file, you can talk to the Playground. And it's a way to, in a no-code environment, interact with our models, interact with our API to see what our models and what our API can do without having to write any code.

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