Everyone's talking, reading, or writing about how much is changing in how we build products in the future, but very few people have actually experienced what the most cutting edge tools are capable of. In a new series on my podcast, I'm going to sit down with the founders... of the most advanced product development tools to live demo what these tools can do, and then talk about the implications of this on product people's careers and lives. To kick things off, I sat down with Amjad Masad (Amjad Masad), co-founder and CEO of Replit ⠕, a browser-based coding environment that allows anyone to write and deploy code. Replit has 34 million users globally and is one of the fastest-growing developer communities in the world. In our conversation, Amjad shares: 🔸 A live demo of Replit building a full-stack web app from a text prompt 🔸 The implications of AI-powered development for product managers, designers, and engineers 🔸 What skills will matter more, and less, in the future 🔸 How this might reshape companies and careers 🔸 Why being “generative” will become an increasingly valuable skill 🔸 “Amjad’s law” and how learning to debug AI-generated code is becoming ever more valuable 🔸 Much more Listen now 👇 - YouTube: - Spotify: - Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 WorkOS — Modern identity platform for B2B SaaS, free up to 1 million MAUs: 🏆 — A global leader in digital identity verification: 🏆 @LinkedInMktg — Reach professionals and drive results for your business:show more

Some key takeaways: 1. The most valuable skill in the future will be the ability to generate ideas quickly. Don’t just be the person who implements ideas—be the one who creates them. Train yourself to generate lots of ideas. As you develop this skill, you’ll find it’s easier to produce and execute on those ideas because you can build these ideas into products faster than ever before. 2. Forget the old approach to learning to code. The new model involves learning how to interact with AI tools that help you generate and troubleshoot code. In six months, the value of even minimal coding knowledge doubles—so stay on top of AI-native tools that complement your creativity and productivity, especially if you’re focused on product development. 3. Use AI-powered platforms for quick prototyping. For example, a sales engineer can rapidly spin up applications to showcase how your product works with APIs or other integrations. This gives clients and teams tangible demos that can drive faster decisions and align expectations. 4. The scale of AI growth is hard for humans to grasp. If you’re working with AI, get comfortable with exponential change. Don’t just keep doing things the way you’ve always done them. In a year, things will look dramatically different—stay ready to pivot. 5. Keep things simple at the start. Whether you’re building a product or creating a tool, use minimalist prompts to get the ball rolling. You can always iterate and refine based on feedback—it’s better to start with something that works and improve over time than to over-engineer from the start. 6. AI is powerful, but it’s not perfect. To make it work for you, you need to understand how it all fits together: servers, APIs, databases, etc. The better you can diagnose and fix issues, the more effective you’ll be in the evolving landscape. AI might be the future, but it still needs humans to make sure everything runs smoothly. 7. Expect software consumption to skyrocket as costs drop. This is the “Jevons paradox” in action: as the cost of building software goes down, the volume of software being created will go up. Expect more people to launch businesses, create tools, and iterate on existing products. The cost-effectiveness of AI-driven development will make it easier for anyone to start building something new.

Super excited for this series and a great first episode. Thank you!

I just finished watching the entire episode. The demo was awesome, but the most important takeaway was the new way founders, product managers, and designers can build prototypes and MVPs. Also, the new way that programmers should approach learning to code,

I used Replit to build my digital twin; a web app to chat with me about my professional work and approach to product management. It’s trained on my cv, a bunch of my writing and curated prompt.

Wow, this is truly promising 👏

Great episode. However i am kind of disappointed that some of the basic functionality in @Replit was broken even for the sample prompt which was suggested on the home page like the landmarks app. The first version is pretty good. But any tweaks to be done is not easy. @amasad