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MagiCode

A Reliable AI Frontend Engineer

Y CombinatorSummer 2024ActiveB2BEngineering, Product and DesignDeveloper ToolsGenerative AISaaSB2B

What they do

Problem

Frontend teams spend significant time on complex, repetitive coding, review, and testing tasks that slow delivery and increase workload.

Solution

An AI-powered frontend engineering agent that writes, reviews, and rigorously tests code before opening a pull request.

Who it's for

Frontend development teams and engineers at companies building web applications.

Founders

Jeff He
Founder

Before founding MagiCode, Jeff earned a Master’s degree from Stanford, where he contributed to the Stanford AI Lab, and an undergraduate degree from UC Berkeley, where he was part of the Berkeley AI Research Group (BAIR). He has published four papers on self-driving cars and reinforcement learning in top conferences like NeurIPS and ICRA. Previously, Jeff also worked as an SDE & a quant, where he developed his expertise in AI and machine learning.

Anirudh Sriram
Founder

Before founding MagiCode, I earned a Master’s degree from Stanford University, where I contributed to the Stanford AI Lab and Stanford Vision and Learning Lab. I also hold an undergraduate degree from IIT Madras. I have published six papers on large language models (and NLP in general) in prestigious conferences such as NeurIPS, ACM, and ACL. Prior to MagiCode, I gained extensive experience through my work at Google Research, Microsoft, Walmart Labs, etc.

Company timeline

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