Code Intelligence, GraphQL, and Closing the Remediation Gap with Beyang Liu

This episode features an interview with Beyang Liu, CTO and Co-founder of Sourcegraph, a code intelligence platform. Prior to Sourcegraph, Beyang was a software engineer at Palantir Technologies, where he developed new data analysis software on a customer-facing team working with Fortune 500 companies. Beyang studied Computer Science at Stanford, where he published research in probabilistic graphical models and computer vision at the Stanford AI Lab. In this episode, Sam sits down with Beyang to discuss the power of intelligence and visualization, GraphQL versus REST API, and how Sourcegraph is drawing inspiration from Google.

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What can we learn from ai-native development through stimulating conversations with developers, regulators, academics and people like you that drive forward development, seek to understand impact, and are working to mitigate risk in this new world? Join Charna Parkey and the community shaping the future of open source data, open source software, data in AI, and much more.