me and @vaibcode did a full hour yap on system design for agentic memory and how you can use AI to prototype products with your users quickly before building anything 00:00 Why AI Memory Systems Keep Failing 00:29 What This Episode Covers 01:24 Building a Shared Memory System…↗

today's fun ai coding tricking - when doing the high-level part of your plan, do an amazon-style "working backwards" approach - write the customer-facing blog post about the feature BEFORE you start building this can surface so many edge cases and help you dial in on prioritizin…↗

AI is compressing how we build. Roles collapse, roadmaps expire quickly, and you end up rewriting the product every few months. So we thought we’d give people a behind-the-scenes look. 21 Days to Launch, a Replit documentary.↗

Closing the Software Loop I've become convinced that it is possible to build a system that improves our core product with a shockingly high level of automation Wrote down some thoughts on how I expect this to work and the implications benedict.dev/closing-the-so…↗

Duolingo just launched a full chess course. It wasn’t built by a huge team or chess experts. It started with a PM, a designer, and Cursor, an AI coding assistant. No engineers. No dev team. Here’s how they built and shipped the course in 8 months using AI. 🧵👇↗

Or it could be like when Google was going to kill everything then didn't. There were 100 AI note-takers before Granola, there will be 100 after. The 80% use case is super easy to assign a pod 3 months to ship a pretty good product. But doing something truly great on a product t…↗

People building AI products: what previously-infeasible product or feature did GPT-4 make possible for you?↗

"it takes us three months to build all the AI stuff and it might take Mailchimp 30 months. The question is, is 27 months enough for me and you to go and build every other feature in Mailchimp to the same standard. And if it's not, then we're goosed, we don't really have a play"↗