Autonomous Product Manager

An AI-driven Agile Product Management tool that automatically converts Requirements Documents (PDF/DOCX) into Sprints and User Stories using Google's Gemini AI, and syncs them seamlessly to Jira Software.

Features

• AI Document Analysis: Upload any PDF or DOCX file to instantly extract business goals and stakeholders.
• Automated Agile Workflows: Generates structured Sprints and User Stories (with story points and priorities).
• Jira Integration: Directly pushes generated Sprints and Stories to your Jira Software cloud boards.
• Modern UI: Dark-themed, dynamic dashboard built with Next.js, Tailwind CSS, and Clerk Authentication.

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Prerequisites

Before starting, make sure you have the following installed on your machine:

• Node.js (v18+)
• Python (v3.10+)
• PostgreSQL (Running on default port 5432 or update .env)

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1. Backend Setup (FastAPI & Prisma)

The backend handles the Gemini AI integrations, database models, and Jira API calls.

1. Navigate to the backend directory:

   cd backend

2. Create a Python Virtual Environment:

   # Windows
   python -m venv venv
   .\venv\Scripts\activate
   
   # Mac/Linux
   python3 -m venv venv
   source venv/bin/activate

3. Install Dependencies:

   pip install -r requirements.txt

4. Environment Variables: Create a .env file in the backend/ folder and add:

   DATABASE_URL="postgresql://postgres:postgres@localhost:5432/autonomouspm"
   GEMINI_API_KEY="your_google_gemini_api_key_here"

   (Make sure to update the Database credentials if yours are different!)

5. Initialize the Database: Push the Prisma schema to your Postgres database:

   prisma db push
   prisma generate

6. Start the Backend Server:

   python -m uvicorn app.main:app --reload --port 8001

   The backend will be running at http://localhost:8001.

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2. Frontend Setup (Next.js)

The frontend is the user-facing web dashboard.

1. Navigate to the frontend directory:

   cd frontend

2. Install Node modules:

   npm install

3. Environment Variables: Create a .env.local file in the frontend/ folder and configure Clerk Authentication:

   NEXT_PUBLIC_CLERK_PUBLISHABLE_KEY=pk_test_...
   CLERK_SECRET_KEY=sk_test_...
   
   NEXT_PUBLIC_CLERK_SIGN_IN_URL=/sign-in
   NEXT_PUBLIC_CLERK_SIGN_UP_URL=/sign-up
   NEXT_PUBLIC_CLERK_AFTER_SIGN_IN_URL=/
   NEXT_PUBLIC_CLERK_AFTER_SIGN_UP_URL=/

4. Start the Frontend Server:

   npm run dev

   The frontend will be available at http://localhost:3000.

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3. How to use Jira Sync

1. Login to the application at localhost:3000.
2. Go to the Settings page from the sidebar.
3. Enter your Jira Domain (e.g. https://your-company.atlassian.net), Atlassian Email, and generate an API Token from your Atlassian Security Settings.
4. Click Fetch Projects/Boards and select your target Project and Board.
   • Crucial: To use the Sprints feature, you MUST select a board that is a (scrum) board. (kanban) and (simple) boards only support syncing tickets, not grouping them into sprints!
5. Save the settings. Next time you view an AI-analyzed document, click Open in Jira!