In this episode, Jordi Montes and Thorsten Ball discuss the evolving landscape of AI agents, particularly in the context of Sourcegraph and software development.
Thorsten is back to working at Sourcegraph after one year helping to develop the Zed code editor. He is well know in the Golang and software engineering communities as the author of "Writing An Interpreter In Go"and "Writing A Compiler In Go".
Sourcegraph accelerates how software gets built, helping developers search, understand, and write code in complex codebases with AI.
This conversation explores the definition of AI agents, the integration of AI into Sourcegraph's operations, and the implications of AI on code search and software development practices. The discussion highlights the transformative potential of AI tools, the importance of performance, and the need for developers to adapt to new paradigms in coding and tool usage. They explore the transformative impact of Large Language Models (LLMs) on software development. They discuss how LLMs enhance the developer experience by improving code context management, shifting programming paradigms, and revolutionizing code interaction. This episode also touches on the future of commit messages and documentation, emphasizing the need for tools that adapt to the evolving landscape of coding and AI integration.
