Product for Product Management copertina

Product for Product Management

Product for Product Management

Di: Matt Green & Moshe Mikanovsky
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A proposito di questo titolo

 Product for Product is a show hosted by Matt Green and Moshe Mikanovsky aimed at helping listeners navigate the growing depth of product management tools while also providing our insights into the categories that make up the PM role. We will take listeners with us on a journey of discovery through areas of product analytics, road mapping, productivity and many others. If you want to keep up with the latest in product management come along for the ride!

Connect with us on LinkedIn:
https://linkedin.com/in/mattgreenproduct
https://linkedin.com/in/mikanovsky

Connect with us on Youtube:
https://www.youtube.com/@productforproductCopyright Matt Green & Moshe Mikanovsky Economia
Episodi
  • EP 148 - AI Tools: V0, Replit and more with Adir Traitel

    EP 148 - AI Tools: V0, Replit and more with Adir Traitel
    Feb 18 2026
    We’re keeping the AI Tools series rolling with Adir Traitel, entrepreneur, product leader, and early adopter of just about every vibe coding tool out there. Adir joins Matt and Moshe to share hard‑won lessons from building real apps with v0, Bolt, Replit, Figma Make, and more, all while running his own startup and consulting on product builds across industries.

    From his early days in project management and mobile app startups, through work with companies like Moovit and across FinTech, AgTech, and credit scoring, Adir has consistently been the “try it first” person for new build tools. In this episode, he breaks down what these platforms actually do well, where they fall short, and how product managers can use them responsibly for experiments, prototypes, and beyond.

    Join Matt, Moshe, and Adir as they explore:
    • Adir’s journey from PM and founder to heavy user of vibe coding tools in his current startup

    • His 3-layer view of the ecosystem: AI dev assistants (Cursor, Antigravity, Claude Code), front-end mockup tools (v0, Figma Make), and full‑product builders (Lovable, Base44, Bolt, Replit)

    • V0: where it shines for quickly building functional UIs (like his electricity consumption app) and where it starts to crack

    • Lovable: great for sites and simple flows, but not ideal for complex SaaS or CRM‑like products

    • Bolt: fun and fast for concepts, but why it never got him close to production

    • Replit: stronger agents and capabilities, but weaker UI output and surprising backend defaults that can get very expensive very quickly

    • Figma Make and Google Stitch: when design quality trumps everything else, especially for SaaS interfaces

    • The real costs of vibe coding: AI token spend, hosting/pricing traps, and why production economics matter as much as build speed

    • What his “dream product” would look like, including multi‑agent environments, better security/privacy, and built‑in QA and CI/CD

    • How all this is reshaping the product management role, and why curiosity and tool fluency are becoming must‑have skills

    • And much more!
    Want to connect with Adir or learn more?
    • LinkedIn: https://www.linkedin.com/in/adirtraitel/

    • Website: https://adirtraitel.com/
    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 ⭐️⭐️⭐️⭐️⭐️
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    1 ora
  • EP 147 - AI Tools: CLEAR with Marcos Polanco

    EP 147 - AI Tools: CLEAR with Marcos Polanco
    Feb 4 2026
    We’re continuing our AI Tools series with Marcos Polanco, engineering leader, founder, and ecosystem builder from the Bay Area, who joins Matt and Moshe to introduce CLEAR, his method for using AI to build real software, not just demos.

    Drawing on decades in software development and his recent research into how AI is reshaping the way teams ship products, Marcos shares how CLEAR gives both technical and non‑technical builders a production‑oriented way to work with vibe coding tools.Instead of treating AI like a magical black box, Marcos frames it as an “idiot savant”: incredibly capable and eager, but with no judgment.

    CLEAR wraps that raw power in structure, guardrails, and engineering discipline, so founders and PMs can go from prototype to production while keeping humans in control of the last, hardest 20%.

    Join Matt, Moshe, and Marcos as they explore:
    • Marcos’s journey through engineering, founding, and AI research, and why he created CLEAR

    • Why AI tools like Bolt, Cursor, Claude, and Gemini are fabulous for prototypes but risky for production without a method

    • CLEAR in detail:

      • C – Context: onboarding AI like a new hire, using stories and behavior‑driven design (BDD) to articulate requirements

      • L – Layout: breaking work into focused, scoped pieces and choosing a tech stack so AI isn’t overwhelmed

      • E – Execute: applying test‑driven development (TDD), writing tests first, then having AI write code to pass them

      • A – Assess: using a second, independent LLM as a QA agent, plus a human‑run 5 Whys to fix root causes upstream

      • R – Run: shipping to users, gathering new data, and feeding it back into the next iteration of context

    • How CLEAR lowers cognitive load for both humans and AIs and reduces regressions and hallucinations

    • Why Markdown (with diagrams like Mermaid) is becoming Marcos’s standard format for shared human–AI documentation

    • How CLEAR changes the coordination layer of software development while keeping engineers central to quality and judgment

    • Practical advice for PMs and founders who want to move from “just vibes” to predictable, production‑grade AI development

    • And much more!

    Want to go deeper on CLEAR or connect with Marcos?
    • CLEAR on GitHub: https://github.com/marcospolanco/ai-native-organizations/blob/main/CLEAR.md

    • CLEAR slides: https://docs.google.com/presentation/d/1mwwDtr7cCP5jLUyNVgGR5Aj-MBq8xsMlhSc0pvSQDks/edit?usp=sharing

    • LinkedIn: https://www.linkedin.com/in/marcospolanco
    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 ⭐️⭐️⭐️⭐️⭐️
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    52 min
  • EP 146 - AI Tools: Base44 with Yaron Lavie

    EP 146 - AI Tools: Base44 with Yaron Lavie
    Jan 21 2026
    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 ⭐️⭐️⭐️⭐️⭐️
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    55 min
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