🚀 AI-Prototyping Tools Every Product Manager Should Know Rapid experimentation. No code needed. Just ideas → prototypes. ✨ Design & UI Figma | Framer | Uizard by Miro Labs ✨ Full-Stack Apps Replit | Lovable | Bolt ✨ Code Assistants GitHub Copilot | OpenAI (Codex) | Cursor ⚡ From mockups to full-stack apps—AI is changing how PMs build and test ideas. Which of these tools have you tried? 👇 #ProductManagement #AItools #Prototyping #LearningBytes
AI Prototyping Tools for Product Managers
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👀 𝗔 𝗹𝗶𝘁𝘁𝗹𝗲 𝗽𝗲𝗲𝗸 𝗶𝗻𝘁𝗼 𝗼𝘂𝗿 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗳𝘂𝗹 𝗟𝗔𝗕 :) Ideas keep popping into our heads. I’m sure many of you know the feeling. At productful, we’ve created a LAB where we collect those ideas - sometimes with an almost-finished concept, sometimes just a “napkin note”. And whenever we have a bit of time, we pick one up and keep working on it. Right now, I’m working on an exciting candidate that I was able to 𝘃𝗮𝗹𝗶𝗱𝗮𝘁𝗲 𝗳𝗿𝗼𝗺 𝗮 𝗽𝗿𝗼𝗯𝗹𝗲𝗺 𝗽𝗲𝗿𝘀𝗽𝗲𝗰𝘁𝗶𝘃𝗲 last week through a bit of research and a quick survey. The next step is to 𝗾𝘂𝗶𝗰𝗸𝗹𝘆 𝗯𝘂𝗶𝗹𝗱 𝘀𝗼𝗺𝗲𝘁𝗵𝗶𝗻𝗴 𝘁𝗲𝘀𝘁𝗮𝗯𝗹𝗲, to find out whether the idea is actually a good way to solve the problem. Instead of starting with Figma like I usually do, I followed a colleague’s tip and tried something new: 𝗟𝗼𝘃𝗮𝗯𝗹𝗲. For everyone who hasn’t heard of Lovable: it’s a 𝗻𝗼-𝗰𝗼𝗱𝗲 𝗔𝗜 that generates functioning apps via chat interface. And yes - 𝗶𝘁 𝘄𝗮𝘀 𝗿𝗲𝗮𝗹𝗹𝘆 𝗳𝗮𝘀𝘁. And it was more than just a prototype. Honestly, I was kind of flashed 😄 It’s impressive how much the system can generate from a clean prompt. Even adding clever features I barely mentioned in the prompt. And while I was sitting there, impressed by the result, I had two thoughts: 1. Wow - you can get extensive, testable results really quickly. 2. But if it already feels that finished … then it 𝘀𝗵𝗼𝘂𝗹𝗱 𝘀𝗼𝗺𝗲𝗵𝗼𝘄 𝗹𝗼𝗼𝗸 𝗳𝗶𝗻𝗶𝘀𝗵𝗲𝗱, too. 😉 So I went back to Figma - luckily, I still had some time - and gave the whole thing a friendly, user-focused look & feel. Right now, I’m working on bringing my UI design cleanly into Lovable via 𝗕𝘂𝗶𝗹𝗱𝗲𝗿.𝗶𝗼, which, unfortunately, is a bit tricky in places. So here’s my question for the network: Has anyone already worked with the 𝗙𝗶𝗴𝗺𝗮 → 𝗟𝗼𝘃𝗮𝗯𝗹𝗲 𝗳𝗹𝗼𝘄? I’d love to hear your tips! Maybe this prototype will even turn into a little MVP. 😅 Either way, I’m curious which version I’ll take into testing next week – and I’m looking forward to your thoughts! #nocode #prototyping #productdiscovery #lovable #figma
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So… I joined the Figma x Contra Make-a-thon and built a little app using Figma Make called Don’t Send That! (https://lnkd.in/gNeqzeP7) 👩💻 It started with something we all know too well: staring at an email draft thinking, “ugh, this sounds terrible, but I don’t know how to fix it.” I wanted to make writing easier and faster, especially for professionals. Instead of wasting time crafting prompts, this tool lets you just type what you really want to say, and it turns it into an email that actually fits the context. Professional when it should be, casual when it can be 💌 At first, I tried to be fancy with WebLLM and Puter.js to get local AI working in a client-side facing-app with no backend. Two days later, I was still fighting with CORS policies 🫠. So I switched gears and used Supabase to handle the API calls, with Groq powering the LLM because it is fast and reliable. I also added a template-style backup logic for context switching so the tool can cover more use cases, even when the AI does not get it perfectly 👌 Everything had to be built inside Figma Make (since that is the rule of the hackathon), which made this whole thing feel like vibe coding. I got to play around with prompt engineering, context logic, and UI design again! (something that I honestly have not touched in years). It reminded me how fun it is to just build things, even if the UI is a little rusty. At least I managed to get that Neubrutalism feel, but will definitely have another go at it and tinker it even more post-hackathon ⚡ Try it out here and let me know what you think! 👉 https://lnkd.in/gNeqzeP7 ✨ On top of that, if you have a Contra account, you can support my post here with a like: https://lnkd.in/gtT9Kf74 ❤️ #figmamakeathon #vibecoding #typescript #react
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Fascinating exchange today between Elliot from Lovable and Dylan Field, Figma’s CEO 🤔 𝘌𝘭𝘭𝘪𝘰𝘵: “𝘞𝘦 𝘫𝘶𝘴𝘵 𝘬𝘪𝘭𝘭𝘦𝘥 𝘴𝘰𝘧𝘵𝘸𝘢𝘳𝘦 𝘦𝘯𝘨𝘪𝘯𝘦𝘦𝘳𝘪𝘯𝘨 𝘣𝘵𝘸.” 𝘋𝘺𝘭𝘢𝘯: “𝘏𝘰𝘸 𝘥𝘰 𝘺𝘰𝘶 𝘥𝘦𝘧𝘪𝘯𝘦 𝘴𝘰𝘧𝘵𝘸𝘢𝘳𝘦 𝘦𝘯𝘨𝘪𝘯𝘦𝘦𝘳𝘪𝘯𝘨?” This came right after Lovable announced its Cloud + AI upgrade, lowering the barriers to entry even further so more people can create software. But the real story isn’t about software engineering being “dead.” It’s about how the product development cycle is shifting: • Traditional flow (where Figma excels): requirements → design → code → test → deploy. • AI-first flow (where Lovable excels): intent → prompt → prototype → iterate. Tools like Lovable (and Figma Make) are removing friction in getting ideas to life quickly. The harder challenges still remain → defining intent, designing resilient systems, building user trust, and aligning teams to purpose. And I'm excited that both tools are coming at it from different angles. AI hasn’t ended software engineering (or read traditional product development). It’s challenging it, turning coding - a historical bottleneck - into an equal part of the problem-solving loop. ---- Curious how others see it: How is AI changing your product development cycle?
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We just shipped a feature in 48 hours that used to take 15 days 🚀 The old way killed us: Plan → Design in Figma → Prototype → Handoff → Code → Argue → Iterate → Ship (maybe) The new way with Lovable or Replit + AI: Vibe code (VS Code + Claude Code) → AI builds 75% → Human polishes 25% → Ship That's it. No handoffs. No translation. Design IS development. Results: - 4-person team -High ARR trajectory - 3x faster shipping - Junior devs doing senior-level work Most teams are still playing telephone between Figma and code while AI does their autocomplete. We chose different: Let AI handle implementation. Humans handle innovation. The uncomfortable truth? Your competition might already be doing this. Ready to stop managing handoffs and start shipping features? P.S. - Last week our designer became a developer. Our developer became a strategist. That's the real transformation. #AIFirst #SaaSDevelopment #StartupGrowth #DeveloperProductivity
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People (mainly developers) keep questioning Anton Osika & Lovable's revenue numbers, saying, "Who is actually using this?" But ALMOST EVERY company we've engaged with is using Lovable in some real way. We just heard it today: "We love using Lovable for mockups. We used to use Figma for prototyping and getting feedback. Now, we use Lovable." We have no dog in this fight, but real product teams are using Lovable all across the world. -- As a dev, I'm excited about this. You know what I hate more than anything? Building things that never get used. Building things that aren't valuable. Better prototyping. Shorter feedback loops. Better code.
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#MobileAppDevRealityCheck: Tight Deadlines + Features + Bug Fixes While Release- Every dev has been here 👇 PM says: “We need this feature live tomorrow.” User says: “App is crashing, fix it now.” Figma Designer says: “Can we also tweak the UI a little?” And I am thinking: “But… I only have 24 hours in a day 😅” 👉 My approach (what 1.9 YOE taught me): Prioritise → Fix bugs that affect users first (nothing kills trust faster than crashes). Feature flag → Ship features behind flags so you can release safely. Automate → CI/CD, lint checks, Crashlytics alerts = life savers. Communicate → Be clear with your team about what’s realistic in the time given. compromise-> Most of the time, clean code and good readability of code reduce the impact of code in the long term. 💡 Takeaway: Deadlines won’t stop being tight. But the way you plan, prioritise, and automate decides whether you burn out… or ship with confidence 🚀. #AndroidDev #DeveloperLife #BugFixes #FeatureDevelopment #TightDeadlines
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🚨With Claude, you can now turn your Figma designs directly into production-ready code using Claude Code + Figma integration. Through the Model Context Protocol (MCP), Claude can “see” your Figma mockups at the data level—not just as images. It reads component hierarchies, design tokens, and even auto-layout rules, then translates them into clean, working code that’s instantly usable in your app. This means no more guessing CSS values, no more redlining screenshots. Your design system flows right into your development environment. How to access it:⬇️ The feature is available via Claude Code inside Anthropic’s IDE extensions. Connect your Figma account through the MCP integration settings. Once connected, Claude fetches design file metadata directly—ready to generate code. Currently, this feature is rolling out to Claude Pro users with access to Claude Code and requires an active Figma account. Broader availability will expand later. #ai #airevolution #aitools #technology
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What I'm using to design + build these days: LLMs — planning, prompt writing, and asset creation Lovable — fast prototyping; get flows into shape quickly ShadCDN — ready-to-use UI components; design system foundation Figma — refine details and align with teams SupaBase — lightweight backend and auth without the hassle If you’re circling an idea, project, or feel stuck — and want a fresh perspective or support integrating AI into your creative workflow — I’ve opened up a few spots for Second Brain sessions — Link in the first comment.
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How to build an MVP (without wasting a year doing it) 1/ get an idea 2/ throw away 90% of it 3/ pick 1 problem 4/ pick 1 customer 5/ open Google Docs 6/ write the solution 7/ open Figma 8/ sketch the ugly version 9/ cut it in half again 10/ add Stripe button 11/ launch to 5 people 12/ watch it break 13/ fix only what matters 14/ ask for money, not feedback 15/ if someone actually pays, congrats, you have an MVP 🎉
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