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Building MVPs with AI: A 90-Day Journey

In this article, the author shares insights from building 13 Minimum Viable Products (MVPs) in just 90 days using AI coding tools. Emphasizing the importance of planning, the author outlines a structured approach that includes creating essential documentation such as Project Requirements, Tech Stack, and App Flow documents. The process involves using tools like CodeGuide for documentation, Lovable for UI and backend setup, and Cursor for AI-driven development. Key takeaways highlight the significance of planning before coding, structuring projects effectively, and leveraging the right combination of AI tools to enhance productivity and reduce errors.

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Christof Brungräber

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How I Built 13 MVPs in 90 Days with AI Code DataScience Nexus InsiderFinance Wire DataScience Nexus · Follow Published in InsiderFinance Wire · 4 min read · Feb 3, 2025 122 3 AI-assisted coding is a game-changer, but it isn’t magic. The biggest mistake I see developers make is jumping straight into coding without a detailed plan. AI tools are powerful, but they need guidance — without it, you’ll end up with hallucinated outputs, debugging nightmares, and wasted time. After building 13 MVPs in the last 90 days using AI coding tools, I’ve learned one crucial lesson: Documentation is 80% of the work, implementation is just 20%. In this article, I’ll break down the exact process I use to plan, structure, and develop MVPs efficiently using AI tools like Cursor, Lovable, and CodeGuide. Step 1: Plan Before You Code Before I even open a code editor, I prepare essential documentation to guide AI tools effectively. Here’s what I create: ✅ Project Requirements Document (PRD): Defines MVP scope, features, and goals. ✅ Tech Stack Document: Lists frameworks, libraries, and integrations. ✅ App Flow Document: Maps the entire user journey, from login to feature interactions. ✅ Frontend Guidelines Document: Ensures consistent UI/UX design. ✅ Backend Structure Document: Outlines API routes, database schema, and core logic. Writing these documents manually took too much time, so I now use CodeGuide to generate them in minutes. This keeps development structured and prevents AI hallucinations (random, incorrect code). Step 2: Structuring the MVP Once the planning is done, I move to MVP structuring. Instead of breaking down features manually, I use CodeGuide to generate a detailed PRD (Product Requirement Document) that includes: ✅ A complete feature breakdown ✅ In-scope vs. out-of-scope features ✅ User flows and recommended tech stack This automates project structuring and makes it AI-friendly, so when I bring the documents into Cursor, the AI already knows exactly what to build. Step 3: Build 70–80% of the MVP in Lovable.dev First Most people start coding in Cursor right away. I don’t. Instead, I build 70–80% of the MVP in Lovable.dev first. Why? 🚀 Lovable has seamless Supabase integration → Easy backend setup without custom coding. 🚀 Faster UI generation → I can refine the design before writing logic. My Process in Lovable 1️⃣ Paste all documents from CodeGuide into Lovable. 2️⃣ Generate the UI, starting with the landing page. 3️⃣ Refine UI elements until it looks polished. 4️⃣ Use Lovable’s Supabase integration to connect the backend (auth, database, etc.). By the time I switch to Cursor, most of the product is already structured, making AI-assisted coding much smoother. Step 4: Perfecting the Landing Page First The landing page is the foundation of the MVP. If it’s well-structured, the rest of the product becomes easier to develop. I focus on: ✅ Clean layout & spacing → A professional look matters. ✅ Consistent components → To maintain a uniform design. ✅ Smooth user experience → Navigation should feel effortless. Once the landing page is polished, I move to other screens, ensuring 70–80% of the UI is built in Lovable before switching to Cursor. Step 5: Using Cursor the Right Way Most people tell Cursor to “just build” their MVP. That rarely works well. AI works best when you guide it properly. Here’s my process in Cursor: 1️⃣ Import the MVP from Lovable to Cursor using GitHub integration. 2️⃣ Paste all CodeGuide documents into Cursor as .md files. (This prevents hallucinations.) 3️⃣ Let Cursor handle backend logic, API connections, and refining the UI. Cursor isn’t a magic tool — it needs structure. Feeding it well-documented plans makes it much more accurate. Step 6: The AI Tools That Make It All Work To speed up development, I use a combination of AI coding tools: 🛠️ Cursor AI → Core AI-driven development. 🛠️ Lovable → UI and backend structuring with Supabase integration. 🛠️ CodeGuide → Automating PRDs, technical docs & reducing hallucinations. The right combination of tools = Faster development with fewer errors. Key Takeaways ✔️ Plan first, code later. A clear roadmap prevents scope creep. ✔️ Use structured docs before opening Cursor. AI performs best with clarity. ✔️ Build UI first, then move to development. Saves time & improves flow. ✔️ Combine tools smartly: Cursor + CodeGuide + Lovable = ultimate speed. AI isn’t here to replace developers — it’s here to make us faster. If you’re struggling with AI-assisted coding, start by organizing your project better. It changes everything.