Building Cody - An Open Source AI Coding Assistant

Dive into an in-depth discussion on the development of Cody, an open-source AI coding assistant, with Beyang Liu, CTO and Co-founder of Sourcegraph. Explore how Cody empowers developers to query and comprehend code within complex codebases through the integration of robust language model capabilities. Learn about Sourcegraph's approach to tackling the intricacies of understanding intricate codebases by creating comprehensive code maps and employing AI for advanced search functionalities. Discover how Cody harnesses AI potential to offer features such as code exploration, natural language queries, and AI-powered code generation, enhancing developer productivity and code comprehension. Gain insights into the evolution of code search engines, the incorporation of AI into products amid organizational challenges, and the potential impact of AI on software development. Delve into discussions on vector databases, context fetching, the low code/no code movement, and reliability issues among AI agents. Understand the practical aspects of leveraging LLMs in code and chat generation, as well as strategies for dealing with rate limits and failovers in AI-powered tools.