Zevi Arnovitz, a non-technical Product Manager at Meta, shares his complete workflow for building and shipping sophisticated applications using AI tools like Cursor. He details a structured, multi-step process that leverages different AI models for specific tasks, including a novel "peer review" technique where models critique each other's code.
An unofficial deep dive into the architecture of modern coding agents like Claude Code. Jared Zoneraich of PromptLayer explains the shift towards simpler, model-centric designs, detailing the core components like the master loop, tool calling (especially `bash`), and context management strategies. The talk also contrasts Claude's philosophy with other agents like Codex, AMP, and Cursor, offering practical takeaways for building your own AI agents.
Michael Truell, CEO of Cursor, discusses the company's rapid growth, emphasizing a strategy of deliberate focus on power users over broad democratization. He shares insights into their unique two-day work trials that test for agency, the technical and relational challenges of out-scaling cloud and API providers, and a talent-first approach to M&A, all while navigating a market poised for its next 'iPhone moment'.
a16z's Anish Acharya and Kevin Rose discuss how AI is fueling a renaissance in consumer technology. They explore the rise of emotional interfaces and AI companions, the importance of backing 'weird and working' founders, and how the modern AI development stack empowers solo creators to build, prototype, and launch products with unprecedented speed and craftsmanship.
In a special live episode from OpenAI Dev Day, host Andrew Mayne interviews founders from SchoolAI, jam.dev, Abridge, and Cursor. They discuss how they are using AI to transform education, web development, healthcare, and coding, sharing insights on their product strategies, technical challenges, and excitement for the next wave of agent-based AI tools.
Michael Truell, co-founder of Cursor, shares the journey of building an AI-first code editor that grew to $100M ARR in a year. He discusses the crucial pivot from failed startup ideas, the conviction required to compete with GitHub Copilot, and the lessons learned in product development, model strategy, and the future of programming in a world where software development will increasingly flow through models.