Lenny's PodcastThe non-technical PM’s guide to building with Cursor | Zevi Arnovitz (Meta)
Zevi Arnovitz from Meta demonstrates how non-technical product managers can leverage Cursor and AI coding tools to build functional products without traditional programming skills. He reveals specific workflows for using different AI models strategically, including how to create detailed project plans, conduct peer reviews across models, and avoid common pitfalls that cause AI to overstep boundaries.
Key takeaways
- •Use multiple AI models strategically by playing to their individual strengths and having them peer review each other's work
- •Create detailed project plans first using slash commands before jumping into code to maintain control over the development process
- •Set clear boundaries with AI models about what they can and cannot modify, especially when it comes to database changes during design work
- •Bolt and Lovable are overly eager to write code, making them less suitable for controlled, methodical development approaches
- •Built-in code review features combined with manual model-switching creates a robust quality control system for AI-generated code
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Best moment
these products were built in a way where and these when I say these products, I mean Bolt and Lovable, were built in a way where they were super eager to write code. So their system prompt was your coding agent. So when you write something, they'd straight away start coding. So at the beginning of a project, this was super fun and exciting because they just go and start building your app. But later on, when things got more complex, this, created much more problems because planning is really important when you're implementing something, technical. And let's say you're implementing payments or something that's gonna be, a change to your database.
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