This Lex Fridman podcast features a conversation with the founders of Cursor, a code editor that utilizes AI to enhance the programming experience. The discussion covers Cursor's features, such as its AI-powered auto-complete function "Tab," which predicts the next edit, and the "Shadow Workspace" feature, which runs code in the background to provide feedback to the model. They explore the use of language models for bug detection, code generation, and even the possibility of using them to formally verify code. The podcast also addresses the potential challenges and opportunities associated with the rise of AI in programming, including the need for better prompt engineering, the role of synthetic data, and the potential for homomorphic encryption to maintain privacy in AI-driven coding. Ultimately, the founders advocate for a future where programmers retain control and agency in their workflow, leveraging AI as a powerful tool to boost productivity and accelerate the creative process.