Beyang Liu

AMP Code is an opinionated frontier AI coding agent designed to help developers navigate the rapidly changing landscape of AI-assisted software development. It aims to embrace the awe and absurdity of agents writing significant amounts of code, positioning itself as a research lab exploring the future of AI in coding. AMP offers both terminal and editor interfaces, focusing on providing the right amount of information without overwhelming the user and streamlining the code review process.

This talk explores the evolving skillset required to effectively utilize coding agents, moving beyond early chatbot paradigms. It argues that the current era demands a new approach to agent interaction, focusing on empowering agents to perform tasks autonomously rather than micromanaging them. The core thesis is that mastering coding agents is a high-ceiling skill that will significantly enhance developer productivity, akin to learning a new programming language or editor.

This talk addresses the challenge of measuring the return on investment (ROI) of AI tools, particularly for developers. The core thesis is that while AI can significantly enhance developer productivity, demonstrating its business impact requires moving beyond anecdotal evidence or simple engagement metrics to more structured evaluation frameworks. The speaker emphasizes that the difficulty in measuring AI ROI is akin to the NP-hard problem of measuring developer productivity itself, suggesting that a precise, universally applicable solution is unlikely, but practical frameworks can be developed.