Scott Dietzen

2023.

2023.

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.

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.

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 co-pilot 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.

We use retrieval augmented generation to deeply mine the knowledge that's inherent inside your code base. So we are a co-pilot 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.

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.

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 as they move engineers inside and around that code base and hire new engineers.

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 as they move engineers inside and around that code base and hire new engineers.

Just the workload on senior developers to mentor engineers. people into areas of the code base they're not familiar with is hugely painful. An AI that knows the answer and is available seven by 24, you don't have to interrupt anybody and can help coach you through whatever you're trying to work on is hugely empowering to an engineer working on unfamiliar code.

Just the workload on senior developers to mentor engineers. people into areas of the code base they're not familiar with is hugely painful. An AI that knows the answer and is available seven by 24, you don't have to interrupt anybody and can help coach you through whatever you're trying to work on is hugely empowering to an engineer working on unfamiliar code.

80%, 110%.

80%, 110%.

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.

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.

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.