Here a summary of the above thread by AI (not generated by me). Based on Prajwal Tomar's X post thread and the related web results, here's a step-by-step guide on how to use AI to code your first SaaS application, particularly focusing on building an MVP (Minimum Viable Product): ### Step 1: Idea & Features Brainstorming with ChatGPT Voice - **Objective**: Define the core idea, essential features, and the flow of your application before any coding begins. - **Action**: Use ChatGPT Voice to brainstorm: - Break down the core idea of your SaaS product. - List essential features you want to include. - Outline the app flow, including pages, navigation, and user actions. - **Outcome**: You should have a clear vision of your project. Once satisfied, ask ChatGPT to draft a structured project outline which will serve as your roadmap. ### Step 2: Generate Project Documentation with CodeGuide - **Objective**: Create comprehensive documentation to guide your development process and provide context for AI tools. - **Action**: Utilize CodeGuide to generate: - Product Requirements Document (PRD) - Tech Stack Overview - File Structure - Frontend & Backend Guidelines - .cursorrules file for Cursor (if applicable) - **Outcome**: Detailed project documentation that ensures all team members and AI tools have a clear understanding of the project's requirements. ### Step 3: UI Design with Lovable - **Objective**: Design the user interface of your application. - **Action**: Use Lovable to: - Import the PRD from CodeGuide to understand the project's scope. - Design UI screens page-by-page, ensuring a coherent flow between pages. - **Outcome**: A set of clean, modern UI designs that align with your project's requirements. ### Step 4: Assembling the Codebase in Cursor - **Objective**: Start coding your application based on the structured documentation. - **Action**: In Cursor: - Create an 'Instructions' folder in the root directory and add all generated docs from CodeGuide. - Ask Cursor to review these documents to understand the project's context. - Follow the implementation plan from CodeGuide, instructing Cursor to start coding from Step 1. - Update the implementation plan after each successful step to track progress. - **Outcome**: A structured codebase that follows your documented plan, with AI assistance to maintain consistency and follow best practices. ### Step 5: Define Your AI-Optimized Tech Stack - **Objective**: Choose technologies that work well with AI tools for efficient development. - **Action**: Select: - **Next.js (App Router) with TypeScript** for the framework. - **TailwindCSS + shadcn** for styling. - **Supabase** for database and storage solutions. - **Vercel** for deployment. - **Outcome**: A tech stack that leverages AI tools' capabilities for seamless integration and development. ### Step 6: Deployment & Scaling - **Objective**: Deploy your MVP and ensure it's scalable. - **Action**: - Deploy your application on Vercel for fast and easy deployment. - Ensure your backend is setup with Supabase. - **Outcome**: Your MVP is live, accessible, and scalable for future growth. ### Step 7: Continuous Improvement and Final Thoughts - **Objective**: Reflect on the process and plan for future iterations. - **Action**: - Review user feedback and analytics to iterate on your product. - Consider adopting agile methodologies like Scrum or Kanban for continuous development. - Engage in discussions with other developers about AI integration in development workflows for shared learning. - **Outcome**: A culture of continuous improvement, ensuring your product evolves with market needs and user feedback. This guide encapsulates the process of using AI tools to streamline the development of a SaaS MVP, emphasizing planning, documentation, UI design, coding, tech stack selection, deployment, and ongoing refinement. Each step leverages AI to enhance efficiency, ensuring that even as a developer, you're working smarter rather than harder.