Building Cody, an Open Source AI Coding Assistant

Name: Building%20Cody,%20an%20Open%20Source%20AI%20Coding%20Assistant
Uploaded: 2023-08-28

Posted Aug 28, 2023 | Views 801

# Open Source AI

# Cody

# Sourcegraph

speakers

Beyang Liu

CTO and Co-founder @ Sourcegraph

Beyang Liu is the CTO and Co-founder of Sourcegraph. Prior to Sourcegraph, Beyang was an engineer at Palantir Technologies building large-scale data analysis tools for Fortune 500 companies with large, complex codebases. Beyang studied computer science at Stanford, where he discovered his love for compilers and published some machine learning research as a member of the Stanford AI Lab.

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Demetrios Brinkmann

Chief Happiness Engineer @ MLOps Community

At the moment Demetrios is immersing himself in Machine Learning by interviewing experts from around the world in the weekly MLOps.community meetups. Demetrios is constantly learning and engaging in new activities to get uncomfortable and learn from his mistakes. He tries to bring creativity into every aspect of his life, whether that be analyzing the best paths forward, overcoming obstacles, or building lego houses with his daughter.

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SUMMARY

Root about the development of Cody, an open-source AI coding assistant. Cody empowers developers to query and comprehend code within codebases through the integration of robust language model capabilities. Sourcegraph tackles the intricacies of understanding intricate codebases by creating comprehensive code maps and employing AI for advanced search functionalities. Cody harnesses the potential of AI to offer features such as code exploration, natural language queries, and AI-powered code generation, augmenting developer productivity and code comprehension.

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