Kris Brandow & Matthew Sanabria from Fallthrough.fm join Jerod to discuss tools we're switching to, whether or not Go is still a great systems programming language choice, user-centric documentation, the need for archivists & more.
Full Episode
Welcome to ChangeLog, and friends, a weekly talk show about obscure Go keywords. Thanks, as always, to our partners at Fly, the public cloud with push-button deployments, scaling to thousands of instances. Learn all about it at fly.io. Okay, let's talk.
Well, friends, before the show, I am here with a new friend of mine, Scott Dietzen, CEO of Augment Code. I'm excited about this. Augment taps into your team's collective knowledge, your code base, your documentation, your dependencies. It is the most context-aware developer AI, so you won't just code faster, you'll also build smarter. It's an ask-me-anything-for-your-code.
It's your deep-thinking buddy. It's your Stan Flo antidote. Okay, Scott. So for the foreseeable future, AI assisted is here to stay. It's just a matter of getting the AI to be a better assistant. And in particular, I want help on the thinking part, not necessarily the coding part. Can you speak to the thinking problem versus the coding problem and the potential false dichotomy there?
a couple of different points to make you know ais have gotten good at making incremental changes at least when they understand customer software so first and the biggest limitation that these ais have today they really don't understand anything about your code base if you take github copilot for example it's like a fresh college graduate understands some programming languages and algorithms but doesn't understand what you're trying to do
And as a result of that, something like two thirds of the community on average drops off of the product, especially the expert developers. Augment is different. We use retrieval augmented generation to deeply mine the knowledge that's inherent inside your code base.
So we are a copilot that is an expert and that can help you navigate the code base, help you find issues and fix them and resolve them over time much more quickly than you can trying to tutor up a novice on your software.
So you're often compared to GitHub Copilot. I got to imagine that you have a hot take. What's your hot take on GitHub Copilot?
I think it was a great 1.0 product. And I think they've done a huge service in promoting AI. But I think the game has changed. We have moved from AIs that are new college graduates to, in effect, AIs that are now among the best developers in your code base. And that difference is a profound one for software engineering in particular.
You know, if you're writing a new application from scratch, you want a web page that'll play tic-tac-toe, piece of cake to crank that out. But if you're looking at, you know, a tens of millions of line code base, like many of our customers, Lemonade is one of them. I mean, 10 million line monorepo.
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