Show Notes
We’re excited to continue our AI Tools series with Yaron Lavie, a veteran product leader with over 25 years of experience in FinTech, InsurTech, and now retail tech at Nexite, where he helps fashion retailers unlock unique in-store data. In this episode, Yaron joins Matt and Moshe to share how he used Base44, an AI-powered, full‑stack vibe coding platform, to take a completely new product idea from concept to a deployed prototype without touching his R&D team. Yaron walks through why traditional approaches like Figma mockups and static visuals weren’t enough for the kind of validation he needed, and how he experimented with tools like Gemini, Claude, and ChatGPT before landing on Base44 for an end‑to‑end, fully hosted solution. He explains how Base44’s conversational, chat-based builder let him model user personas, flows, and entities, then iteratively refine an interactive analytics dashboard with real (anonymized) data, all inside a time‑boxed, low‑risk experiment that still respected security constraints.
Join Matt, Moshe, and Yaron as they explore:Why Yaron needed to validate a new product idea without pulling scarce R&D resources off other priorities
How he moved from static mockups to interactive prototypes with real data, and where Gemini helped and fell short
What made Base44 stand out versus other vibe coding tools like Lovable: full-stack, hosted, and truly end-to-end
The importance of “context engineering” over simple prompt engineering when building with LLM-based builders
Using Base44’s discussion mode, live preview, and QA test generation to shape the product before committing to code
Real-world limits: hitting a ceiling on UX depth, inflated code, and friction with design systems and engineering standards
How he transitioned from a Base44 prototype to a ground-up rebuild with the core dev team, using the prototype to generate user stories
Practical pros and cons: integrations, multi-currency support, database control, and when full-stack vibe coding is “good enough”
Where Yaron sees vibe coding going next, and how PMs can use it responsibly for experimentation and usability testing
And much more!
Want to connect with Yaron or learn more?LinkedIn: https://il.linkedin.com/in/yaronlavie
You can also connect with us and find more episodes:Product for Product Podcast: http://linkedin.com/company/product-for-product-podcast
Matt Green: https://www.linkedin.com/in/mattgreenproduct/
Moshe Mikanovsky: http://www.linkedin.com/in/mikanovsky
Note: Any views mentioned in the podcast are the sole views of our hosts and guests, and do not represent the products mentioned in any way.
Please leave us a review and feedback ⭐️⭐️⭐️⭐️⭐️
More from Product for Product Management
After a full series exploring what product managers should retain, and rethink, in the age of AI, Matt and Moshe sit down for an honest wrap-up. What did we learn, what changed our minds, and where do humans still matter most?
When AI can summarize meetings, draft updates, and even recommend priorities, what remains uniquely human about stakeholder alignment? In this episode, product coach and advisor Joy Adamson joins Matt and Moshe to explore why alignment is still one of the most essential, and most human, parts of a product manager’s work.
We’re back with a familiar voice on the podcast: John Fontenot returns to continue our *First Principles for PMs in the Age of AI* series, this time focused on Vision and Strategy. In a conversation that blends product thinking, personal reflection, and a healthy dose of AI skepticism, John helps us explore what it really means for PMs to define where they’re going, and how to get there.
We’re continuing our new series on "First Principles for PMs in the Age of AI" with a conversation about two things AI can support, but not replace: human judgment and empathy. In this episode, Rebecca Douglas joins Matt and Moshe to unpack why these skills matter even more as product teams lean harder on AI tools.
We’re kicking off a new series with a very timely question: what does product management look like in the age of AI? In this first episode, Matt and Moshe set the stage for *First Principles and Beyond for Product Managers in the Age of AI*, exploring how PM work is changing, what should stay human, and where AI can genuinely help.