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Prompt d'architecte Micro-SaaS Vibecoder

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Sercan Solmaz
Contribué parSercan SolmazSource

20 févr. 2026

Prompt d'architecte Micro-SaaS Vibecoder Invite système structuré pour générer un plan MVP complet, couvrant la boucle principale, l'intégration de l'IA, la pile technique, les réductions de périmètre et une invite de lancement pour les assistants de codage.

Contenu du PromptEnregistrer

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**The Core Loop:** 1) User lands on a single-page input: describes their problem in 1-2 sentences (or pastes a URL/logs). 2) System runs a lightweight "diagnostic" - extracts key entities, pain points, and success criteria via a single LLM call (structured JSON output). 3) User sees a "prescription" - a ranked list of 3-5 actionable steps, each with a one-line rationale and a "Do this first" button. 4) User clicks one step - system generates a tailored template (email, code snippet, or checklist) in a modal, with a copy-to-clipboard action. 5) User copies and leaves - the "Aha" moment is the instant they have a concrete, personalized artifact they can use immediately, without any setup or configuration. **AI Integration Strategy:** - Use **direct API calls** (no RAG, no vector DB) for the diagnostic step - one call with a strict system prompt that forces JSON output (e.g., `{ "pain_points": [], "success_criteria": [], "recommended_actions": [{ "title": "", "rationale": "", "template_type": "" }] }`). - Use **prompt chaining** for the template generation: first call extracts context, second call (with the extracted JSON as context) generates the artifact. This keeps each call small, fast, and cheap. - No fine-tuning, no embeddings. If user provides a URL, use a simple fetch + text extraction (e.g., `cheerio` or `readability`) before the first call. - Cache the diagnostic result for 24 hours in a key-value store (e.g., Redis or a simple JSON file) to avoid repeat API costs. **The 'Vibecoder' Tech Stack:** - **Frontend:** Next.js (App Router) + Tailwind CSS - because Cursor/v0 generate this natively, and it deploys to Vercel with zero config. - **Backend:** Next.js API routes (serverless functions) - no separate backend service. - **Database:** SQLite (via `better-sqlite3`) or a single JSON file for MVP - no ORM, no migrations. Store only user sessions and generated artifacts (optional). - **Hosting:** Vercel - one-click deploy, auto HTTPS, edge functions for low latency. - **AI SDK:** Use `ai` package (Vercel AI SDK) with `openai` provider - it handles streaming, error retries, and type-safe prompts out of the box. **MVP Scope Reduction (EXCLUDE these 3):** 1) **User authentication and accounts** - no login, no profiles. The app works anonymously; users just paste and copy. 2) **Payment and billing** - no Stripe, no subscription tiers. Launch free, add monetization after validation. 3) **History or saved results** - no dashboard, no "my past prescriptions" page. The artifact is ephemeral; users copy it and leave. **The Kickoff Prompt:** "Build a Next.js 14 app (App Router, TypeScript, Tailwind CSS) deployed on Vercel. The app is a single-page tool called 'Problem Prescriber'. The page has a centered textarea with placeholder 'Describe your problem in 1-2 sentences...' and a button 'Get My Prescription'. On submit, call an API route `/api/prescribe` that: (1) takes the user's text, (2) calls OpenAI GPT-4o-mini with a system prompt that forces JSON output with this exact schema: `{ "pain_points": string[], "success_criteria": string[], "recommended_actions": [{ "title": string, "rationale": string, "template_type": "email" | "code" | "checklist" }] }`, (3) returns that JSON to the client. The client then renders three sections: 'Pain Points' (as chips), 'Success Criteria' (as bullet list), and 'Recommended Actions' (as cards with a button 'Generate Template'). Clicking a card's button calls a second API route `/api/template` with the action title and the original problem text; this route returns a generated template (email draft, code snippet, or checklist) as plain text. Display the template in a modal with a 'Copy' button (use `navigator.clipboard`). No authentication, no database, no analytics. Use the `ai` package from Vercel for both API calls. Style with Tailwind: clean, minimal, max-w-2xl centered, subtle shadows, rounded corners. Ensure the entire app works without any environment variables except `OPENAI_API_KEY`. Write all files: `app/page.tsx`, `app/api/prescribe/route.ts`, `app/api/template/route.ts`, `app/layout.tsx`, `app/globals.css`, and `package.json` with dependencies: `next`, `react`, `react-dom`, `ai`, `openai`, `tailwindcss`. Do not add any extra pages or components."

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Catégories :productivity| prompts.chat| micro-saas| mvp

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