🧠 Product Requirements Document (PRD) - AI-Powered Code Generator

[urbantech]

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🧭 Overview

The AI-Powered Code Generator is a developer tool that enables users to convert natural language prompts into code snippets in Python, JavaScript, or HTML. The tool targets developers, students, and non-technical creators who want to quickly generate boilerplate or functional code without manually writing syntax.

This tool will streamline workflows, boost productivity, and bridge the gap between ideation and implementation.

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🎯 Goals

1. Accept user prompts in plain English and generate accurate, secure code.
2. Support Python, JavaScript, and HTML initially, with a roadmap for additional languages.
3. Deliver real-time code output with proper syntax highlighting.
4. Allow copy/download/export functionality for generated code.
5. Implement a feedback loop for users to rate and refine outputs.

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👥 Target Users

• Junior Developers and Students
• No-code/Low-code builders
• Educators and technical trainers
• Technical product managers
• Hackathon participants and rapid prototypers

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🔍 Key Features

Feature	Description
📝 Prompt Input	Text area for users to input natural language requests.
🧠 AI Model Integration	Use an LLM (OpenAI/GPT, or OSS like Mistral/Cohere) for code generation.
🌐 Language Selector	Toggle for selecting output language (Python, JS, HTML).
💡 Code Preview	Display formatted and syntax-highlighted code in real time.
📤 Copy/Download	Allow users to copy or download the code output.
🔁 Prompt History	Track past inputs and outputs for re-use or iteration.
⭐ Output Rating	1–5 star rating system to gather feedback and improve responses.

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🏗️ System Architecture

Frontend

• Framework: React or Next.js
• UI Kit: Tailwind CSS + shadcn/ui
• Syntax Highlighting: Prism.js or Monaco Editor

Backend

• Framework: FastAPI
• AI Provider Integration: OpenAI API or local model via Ollama
• Rate Limiting: Redis
• Session Management: Supabase Auth or JWT

Storage

• Supabase (PostgreSQL) for user prompts, sessions, and feedback
• Optional: Vector DB (ChromaDB, Weaviate) for semantic search of past prompts

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📊 Data Model

users

• id: UUID
• email: string
• created_at: timestamp

prompts

• id: UUID
• user_id: FK → users.id
• input_text: text
• output_code: text
• language: enum (python, javascript, html)
• created_at: timestamp
• rating: integer (nullable)

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🧪 Testing Strategy (TDD/BDD)

• ✅ Unit Tests for each API route
• ✅ BDD stories for end-to-end flow: "As a user, when I enter a prompt and select 'Python', I should see a code snippet output"
• ✅ Integration Tests for AI output verification
• ✅ Security Tests for injection protection
• ✅ Performance Tests for response time < 2s

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🚀 MVP Features

• Natural language prompt → code generation
• Python, JavaScript, HTML support
• Output display with syntax highlighting
• Copy to clipboard
• Feedback rating on output
• Prompt history (V2)
• Code snippet export (V2)
• Semantic search of past prompts (V3)

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🗓️ Timeline & Milestones

Week	Deliverable
1	Project scaffolding + UI prototype
2	FastAPI endpoints + OpenAI integration
3	Prompt input → code output end-to-end
4	Syntax highlighting + copy button
5	Prompt history + basic analytics
6	Feedback system + user auth
7	Polish, bugfixes, and deployment
8	Launch + user onboarding flow

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🛡️ Success Metrics

• 🧠 Code output rated ≥ 4 stars by 80% of users
• ⚡ Average response time < 2s
• 📈 500+ prompts processed in first 30 days
• 🔄 40% repeat usage rate by registered users

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🚧 Future Considerations

• VS Code Extension
• Multilingual support (Java, SQL, etc.)
• Chat-style prompt refinement
• GitHub Copilot integration
• Offline/Edge device support with local LLMs

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