This talk explores how to overcome the context window limitations that prevent AI agents from accessing large APIs. It introduces "Codemode," a technique where agents write code against a typed SDK in a secure, sandboxed environment, moving beyond static tool definitions and enabling full API accessibility.
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.
Replit co-founder and CEO Amjad Masad discusses the company's 10-year journey from a browser IDE to an AI-native "vibe coding" platform, empowering non-technical domain experts to build and deploy real software, and what the future holds with parallel agents and a post-prompting world.
![[FULL WORKSHOP] AI Coding For Real Engineers - Matt Pocock, AI Hero (@mattpocockuk )](https://img.youtube.com/vi/-QFHIoCo-Ko/maxresdefault.jpg)
A workshop on building a complete AI-assisted development workflow, covering how to translate ambiguous requirements into agent-ready plans and run autonomous coding agents to ship production-ready features.
Despite benchmarks showing relentless progress, many users remain dissatisfied with LLM responses in real-world scenarios. This summary explores two key analyses—a custom 'nonsense question' benchmark and trends from Chatbot Arena's 'dislike both' data—to reveal the persistent gaps in model reasoning, reliability, and domain-specific understanding.
Y Combinator Partner Diana Hu explains how to build an AI-native company where AI is the core operating system, not just a tool. She covers how to make a company queryable, the impact on team structures, and why startups have a massive edge in this new paradigm.