Can AI Turn Us Into 10x Developers?

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In this talk, Kevin Hou will explain how Codeium is working to unlock a 10x productivity gain for all developers. Today, Codeium's in-IDE autocomplete and chat help hundreds of thousands of developers write almost half of their committed code. Kevin will showcase the technical challenges behind building Codeium and how we've trained our own AI models to make full file edits, search across millions of lines of code, and generate code faster than any other AI tool on the market.

This talk has been presented at JSNation 2024, check out the latest edition of this JavaScript Conference.

FAQ

The Amsterdam Breathalyser app is a conceptual application demonstrated in the talk. It combines the local cultural elements of biking and drinking, and it was built using Codium's AI developer tools to showcase their capabilities.

In 2018, the most powerful GPUs available to the mass market could perform 29 teraflops of compute. As of today, the most powerful GPUs can perform over 200 teraflops, representing a more than 10x increase in processing power.

The term '10x developer' refers to a developer who can achieve significantly higher productivity and efficiency, often by leveraging advanced tools and technologies like AI to streamline their workflow.

Despite AI advancements, core principles such as understanding the codebase, debugging, writing good documentation, and generating unit tests remain important in software engineering.

Yes, everything demonstrated in the talk using Codium's AI developer tool is actually free, as the company aims to provide this tool to as many developers as possible.

The main takeaway is that AI can save developers time by abstracting away the complexity of routine tasks, allowing them to focus on more exciting and important work, such as building user experiences and solving user problems.

Codium's AI can integrate with styling frameworks like Tailwind and existing design systems. It takes instructions in plain English to apply styles and use design components, thus simplifying the process of designing user interfaces.

Codium's AI developer tools can automatically learn from active files, analyze codebases, index dependencies, and generate code based on simple English sentences, thereby speeding up the coding process and reducing the need for extensive Googling or manual typing.

AI can help developers become 10x developers by automating routine tasks, analyzing codebases, indexing dependencies, and providing contextual suggestions, thereby allowing developers to focus on more complex and creative aspects of software development.

Codium is a company based in San Francisco that builds AI developer tools designed to accelerate and improve the software development workflow.

Kevin Hou
Kevin Hou
7 min
13 Jun, 2024

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Video Summary and Transcription
AI can help developers become 10x more efficient by leveraging powerful GPUs. Codium is an AI developer tool that can accelerate learning, analyze dependencies, and provide personalized coding experiences. It abstracts away complexity and allows developers to focus on building user experiences. Codium aims to transform the software industry and empower developers to become 10x engineers.

1. Introduction to AI for 10x Developers

Short description:

Hello JS Nation. I'm Kevin from Codium, a company building AI developer tools. Today, I'll explain how AI can help you become a 10x developer. The most powerful GPUs now have 10x the processing power, enabling us to trade compute for leverage. Let me show you a concrete example of how AI can be integrated into your coding workflow.

Hello JS Nation. Going to kick off the lightning talks with a wonderful presentation about how you can become a 10x developer using AI. My name is Kevin. I'm at Codium, a company based in San Francisco, and we're building AI developer tools.

We all have this notion of what a 10x developer is, right? It is someone who can turn Red Bull into code and they have a mechanical keyboard that probably lights up, probably changes colour, probably annoys most people in the office, but it is almost an extension of themselves, right? They're able to just churn and absolutely destroy code. Today, I'm going to tell you how, you know, maybe not with stuff like this, you too can become leveraged by using AI in your developer workflow.

So, to add some more colour to how exactly and why 2024 is the time for the 10x developer, I want to give you a brief history lesson. I started my career in the self-driving industry, and, back in 2018, the most powerful GPU available to mass market was only capable of doing 29 teraflops. For context, that basically means 29 trillion floating-point operations, and while we were building these models and trying to get vehicles on to the road, we were spending a lot of time on efficiency of models rather than the actual quality in order to get this sort of performance to work on a vehicle. Fast forward six years to today, and the most powerful GPUs have now 10x the amount of processing power and are able to perform 200-plus teraflops of compute. What does this actually mean in the context of software engineering? It means that in these games, give us the chance to trade that compute for leverage, and we're going to give you a quick demo as to how exactly this can be concretely integrated into the way that you write code.

2. Building the Amsterdam Breathalyser App

Short description:

This is my first time in this beautiful city. People love beer. People like to bike everywhere. We're building the Amsterdam Breathalyser app using Codium, an AI developer tool. With Codium, we can accelerate learning, analyze dependencies, and summarize files. We trade compute for a personal and unique experience. It can make typing faster, suggest product decisions, and provide specific specs. We've built a full app using English sentences instead of typing.

This is my first time in this beautiful city. Honestly, I haven't spent too much time in Europe, but I've learned two quick things in my 24 hours since being here. People love beer. It's cheaper than water at the restaurant I was at last night. Two, people really like to bike everywhere, so we're going to combine these two things by building an app. It's the Amsterdam Breathalyser. We're going to do this all armed with Codium, an AI developer tool.

So we're going to start with our JS monorepo, so fairly standard. The thing that I want to call out is that we have packages, we have shared dependencies, think design system, think utils, and a completely empty Vita project. We want to start by creating a landing page. Traditionally, you might have spent some time learning how to centre a title and a button on a page. What would you do? You would go to StackOverflow, try to find the exact copy of what you want. You might go to W3 schools, or you might even be in, who has played Flexbox Froggy? The classic let's get into the Flexbox game. Now, with Codium and all these new dev tools, we're able to speed up that acceleration of learning. We're able to automatically learn from your active files, from your repository, to actually ingest your codebase and trade that compute for analysing your dependencies, indexing your code, and summarising your files ahead of time.

It's this whole idea where we are trading compute so that your work can go faster. In this case, I'm actually telling it, I want to use Tailwind for my styling, and I also want to use my design system, so I'm telling it explicitly, let's pin my design system as I'm performing my generations. As you can see, what used to be complex Googling is now simply an English sentence. We're able to type an English sentence, and it's able to use context from our codebase and use that additional compute to now give us exactly what we want. The whole idea is that we are trading compute for a personal and unique experience with an AI developer tool. This can make typing a lot faster. As you can see, there's a lot of boilerplate with setting up state. We have to make sure we're tracking the number of drinks that this person is having. It can kind of read your mind in that sense. It can even suggest product decisions. Here our AI thinks that five drinks is an appropriate amount to drink before you can bike home. Maybe it's a skill issue on my part. It seems a little high, but who knows? Similarly, you can use that context ingestion here instead of Googling on how modals can work, we can ask, how do I use a modal? It will look through components that I have existing in my design system and give me the exact spec on what that means. Finally, what this gives us in under a couple of minutes when I was doing this asynchronously, you get this kind of experience where we have now focused and built a full-fledged app by a lot of English sentences rather than a lot of typing.

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