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"MagiCode anticipates developers’ needs and offers them active guidance"
TLDR: MagiCode is a proactive AI pair programmer that intuitively understands developers' actions in real-time, actively anticipates their next steps, and offers assistance even before they ask.
Founded by Jeff He & Anirudh Sriram
Meet Anirudh and Jeff, co-founders of MagiCode. They met at Stanford when looking for teammates to take the Lean Launchpad course together. Between them, they've had the opportunity to work at Google Research, Microsoft, Amazon, Stanford AI Lab (SAIL), and Berkeley AI Research (BAIR). Both of the founders have worked a lot with self-driving cars and LLMs during their university days and are stoked to be working at the intersection of both fields.
Why are the founders building this? ⚙️
Both of the founders were active users of various AI coding tools even before they were named “pair programmers”. However, the experience was underwhelming because:
- The tools are not really “intelligent”: the founders always had to type out multiple shortcuts for their queries to be routed to the right AI agent to handle.
- When they were deeply immersed in a task/implementation, they often didn’t know how, or what to ask the AI Coding tool. For example, when implementing a button that triggers a POST/ request to the backend API, they would have to constantly jump around multiple files, making modifications across different functions. In this scenario, before asking the AI to help with implementation, the founders actually had to spend time thinking about “how” to frame their questions:
- How to explain what the functionality of this button is?
- Which file names should be mentioned to the AI as being relevant?
- How can all relevant context be succinctly phrased, including current progress or past edits/changes that have been made, so that the AI will give the best output?
As a result, the company founders often resorted to doing everything themselves to avoid the tedious back-and-forth.
In those moments, they realized what they wanted was a tool that could fetch global context without relying on shortcut commands, anticipate their needs, and even understand what they were thinking before typing anything — something that was always “on the same page” with them. That’s exactly what led the founders to create MagiCode — a tool that can answer all the developer’s questions intelligently, and also proactively assist without needing to be prompted.
How is MagiCode different from existing solutions? 🤔
- Proactive Assistance: MagiCode brings the answers to you without you even asking. It is designed to constantly analyze the project's state and make suggestions for what you can do next. As a user, all you have to do is click on a suggestion and watch as MagiCode works on files asynchronously and brings you the finalized results with easy-to-view diff files.
- Personalized Memory: MagiCode has personalized memory retainment of your editing history, editor state, and user activity. Its designed as an intelligent system that processes all this information in a low-latency manner and uses it naturally when answering the user’s queries.
Watch MagiCode in action! 🤯
https://www.youtube.com/watch?v=EPM_eOL8BRE
Learn More
🌐 Visit www.magicode.ai to learn more.
💬 The founders are currently onboarding users for MagiCode. If you’d love to try MagiCode, they are active on Discord and would be happy to help you onboard and answer any questions. You can join their discord here.
🤝 If you know an engineer who is interested in trying out AI Coding tools, tell them about MagiCode!
📧 You can also reach out to the founders directly via email to talk more about the future of AI-powered coding. Feel free to book a time with them here 😊.
👣 Follow MagiCode on LinkedIn.
