Sujay Jayakar

Sujay Jayakar, co-founder and Chief Scientist at Convex, dives into the future of autonomous coding. He discusses the challenges AI agents face with full-stack development and the significance of robust evaluation methods like Fullstack Bench. Jayakar emphasizes how type safety can reduce errors and improve consistency. He shares insights on which AI models excel in real-world app-building, and why treating your toolchain as part of the prompt could transform development workflows. Perfect for developers looking to enhance their projects with AI!

Sujay Jayakar, co-founder of Convex and an early engineer at Dropbox, shares fascinating insights on building and redesigning Dropbox's sync engine. He delves into the technical challenges of ensuring data integrity and the emotional rollercoaster of transitioning to cloud solutions. Sujay discusses enhancing sync performance through rigorous testing and the move from a Python system to a sleek Rust-based engine. He also explores the design philosophy behind Convex, emphasizing robust state management for local-first applications.