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Building Cody, an Open Source AI Coding Assistant // Beyang Liu // MLOps Podcast #173
Aug 29, 2023
01:02:12
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Beyang Liu, developer of Cody, an open-source AI coding assistant, discusses the challenges and process of incorporating AI into existing products, navigating complex code bases, and the technology used in building Cody. The chapter also touches on the complexity of fine-tuning AI models and supporting multiple language models in Cody.
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Quick takeaways
- Cody, an open-source AI coding assistant, aims to empower developers by providing contextual information and code generation based on natural language prompts.
- Sourcegraph envisions a future where computer systems play an integral role in software development, taking human instructions and performing actions to achieve desired outcomes.
Deep dives
Sourcegraph's Co-Founder on Creating a Code Search Tool
Cody, a tool developed by Sourcegraph, offers a way to query and understand codebases. The inspiration for creating Cody came from the pain points experienced by software engineers when trying to read and make sense of existing code. The tool aims to alleviate this pain by providing contextual information and generating code snippets based on natural language prompts. While Cody is primarily designed for professional software engineers, there is potential to expand the franchise of software creators and involve a broader set of people in the process of creating software. The use of large language models and the incorporation of AI in the search results and search relevancy are key aspects of Cody's development. Context fetching mechanisms and embeddings based search contribute to improving the accuracy and usefulness of the tool. While Cody is still in the early stages and reliability is a consideration with external API dependencies, Sourcegraph is working on fine-tuning models and ensuring the system can generate reliable code for specific instructions. The goal is to make software creation more accessible, improve developer productivity, and pave the way for a future where more people can contribute to code bases.
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