
MagiCode
ActiveA Reliable AI Frontend Engineer
About
MagiCode is an AI-powered frontend agent that writes, reviews, and rigorously tests code before pushing a PR—helping busy frontend teams offload complex, repetitive tasks from their workload.
Founders · 2
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.
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.
Launch
MagiCode anticipates developers’ needs and offers them active guidance.
MagiCode offers a proactive AI pair programmer that understands developers’ actions in real time, anticipates next steps, and provides assistance without prompts. It emphasizes global context, personalized memory, and asynchronous, file-specific suggestions to streamline coding workflows for developers.
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