As AI handles more of the coding, the role of a software engineer is shifting from writing code to planning and reviewing the work of AI agents. This talk explores the implications of this shift, the new workflows it demands, and the tools required to manage them effectively.
As the number of AI agents grows, humans become the bottleneck. This talk introduces AgentCraft, a game-inspired orchestrator that draws lessons from Real-Time Strategy (RTS) games to enhance human-agent collaboration, improve visibility, and increase agent autonomy, ultimately raising the ceiling of what's possible.
Gergely Orosz, author of The Pragmatic Engineer, discusses the bizarre trend of 'token maxing' in Big Tech, the evolving role of software engineers in the AI era, and why companies are heavily investing in internal AI infrastructure despite uncertain productivity gains.
Weiwei Wu and Jeff An, co-founders of Momentic, discuss their AI-powered testing platform that acts as a verification layer for software. They explore how the rise of AI-generated code makes robust testing more critical than ever and share their vision for a future of "truth-driven development" where engineers write specs, not code.
David Singleton, former Stripe CTO, introduces Dreamer, an "operating system" for consumer-friendly AI agents. He demos building a conference app in minutes using natural language, and details the platform's architecture, developer ecosystem, and monetization model for tool builders.
A deep dive into building agent-powered engineering workflows with Codex and OpenAI APIs, covering the shift from pair programming to agentic delegation, the principles of 'Harness Engineering' to make agents reliable, and practical examples from OpenAI and Basis.