Ep 33: CTO and Co-Founder of Sourcegraph on Current Landscape and Future of Software Development, How to Make RAG Better, and Building Towards the Agentic Future

This podcast episode explores the potential impact of AI on coding and software engineering. The speakers discuss the AI products at Sourcegraph, such as a code search engine and an AI coding assistant called Cody. They delve into the role of language models in automating tasks and the importance of context in improving model performance. The conversation also covers the benefits and challenges of using AI tools in software development, the development of the RAG engine for code generation, and the integration of AI into the coding process. The speakers emphasize the importance of privacy, cost, and latency in the development process. They discuss the need for open ecosystems, multiple companies focusing on specific use cases, and preserving freedom of choice in software creation. The section concludes with discussions on building a sustainable business and the surprises and challenges faced in developing AI features. Overall, this podcast episode highlights the opportunities, advancements, and future possibilities of AI in coding and software engineering.