An AI assistant designed for programming
Ask questions about multiple files across multiple repos and effortlessly reference Linear, GitHub and Notion issues/docs.
Magnet reads local files and issues directly from your web browser. We'll never store your sensitive data on our servers.
Give the Magnet AI context on the tasks you're working on and have it take a first pass or provide clarifying context on the issue.
No need to copy and paste file contents into ChatGPT. With Magnet, just select the files and ask your question.
Stitch together your files and issues across multiple repos into a single project so that you can go end-to-end on features.
One of the most exciting capabilities of LLMs like ChatGPT and GPT-4 is their exceptional ability to code. LLM-powered AIs like ChatGPT also make great thought partners in what we should build, and how we should build it.
It’s an exciting time to be making software. With these emerging AI capabilities, a new set of tools for building software are also needed. This is what we’re setting out to deliver with Magnet.
In the future, we believe that AI coding assistants (agents) will be able to go end-to-end on shipping a wide variety of features and fixing most errors that happen in your software. From prioritizing features, to designing them, to implementing them in code. These AI coding assistants will substantially speed up existing software developers and also make coding accessible to a much wider audience. The time it takes to go from having an idea, to fleshing it out and getting to a working piece of software will become shorter and shorter in the coming years.
The initial focus we’ve had when building Magnet has been exploring interfaces that give humans the best controls for leveraging AI coding superpowers - emphasizing the unique collaboration between humans and AI to build software.The vision for Magnet in the coming months is to build out:
The alpha version we’re shipping today, is a preview of that longer-term vision - but we already find it useful and think you might as well. We’ve been using Magnet to build Magnet, and this bootstrapping loop has been fun.
If you find yourself copying and pasting snippets of code from your codebase into ChatGPT, then this first version of Magnet is for you. Often, when turning to ChatGPT for help, you’ve already got a codebase you’re working on, but ChatGPT doesn’t have access to that code. We found ourselves often copying and pasting the content of files into the ChatGPT UI in order to help give ChatGPT sufficient context on the code we’re working with. This copy and paste process to give ChatGPT context on our codebase felt tedious, and so we wanted to make this a much smoother process.The first version of Magnet solves this UX challenge. With Magnet, you can open any directory you’re working on locally and:
We’d love to get your feedback on this early version! Join us on Discord.A few things on our roadmap include:
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