Open||Source||Data 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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“When I think about the future of Sourcegraph, it's really the future of this global human knowledge base that we're constructing. Similar to the worldwide web, the internet, where that was an amazing thing that came along. We're starting to see something like that emerge in the world of code. The open source ecosystem is this amazing, decentralized, distributed store of human knowledge that encapsulates all these algorithms and data structures and systems that are then pulled into all these systems that we rely on in our lives. And, so far, no one has really tried to map that web of knowledge in the same way that Google has mapped the internet and we want to do that. [...] You just open up a web browser, open up Google, type a query and you're good to go. We want to make exploring code as easy as that experience.” – Beyang Liu
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Episode Timestamps:
(01:21): What open source data means to Beyang
(02:59): Beyang’s inspiration to create Sourcegraph
(09:13): What Beyang sees in the future of power of intelligence and visualization
(14:37): How Sourcegraph works
(24:11): GraphQL versus REST API
(27:10): What Sourcegraph’s open source community looks like
(30:29): Beyang’s advice for people wanting to build new companies
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