Flight Tracking Agent

Project Overview

This project implements AI agents to automate the Software Development Lifecycle (SDLC) for a flight tracking application using Large Language Models and Jira integration.

Features

• ✅ Requirements Agent: Expands a one-line prompt into detailed requirements

  • Takes a simple product request: "Generate a flight tracking application in ReactJS/Java"
  • Generates comprehensive requirements with acceptance criteria
  • Automatically creates Jira tickets for each requirement

• Tester Agent: Creates test cases for all requirements

• Analyzes each requirement to understand testing needs

• Generates detailed test cases with steps and expected results

• Creates subtasks in Jira linked to parent requirements

Technologies Used

• Perplexity API: Primary LLM for generating requirements and test cases
• Gemini API: Alternative LLM for content generation
• Jira REST API: For ticket and subtask creation
• Python: Core implementation language
• Request Caching: To optimize API usage and conserve credits

Project Structure

flight-tracking-agent/
├── main.py              \# Entry point and orchestration
├── utils/
│   ├── jira_helper.py   \# Jira API integration
│   └── llm_helper.py    \# LLM API handling and caching
├── requirements.txt     \# Dependencies
└── .env                 \# Environment variables (excluded from Git)

How to Run

1. Clone the Repository

git clone https://github.com/soumysuwas/flight-tracking-agent1.git
cd flight-tracking-agent1

2. Install Dependencies

pip install -r requirements.txt

3. Configure Environment Variables

Create a .env file in the root folder:

PERPLEXITY_API_KEY=your_key
GEMINI_API_KEY=your_key
JIRA_EMAIL=your_email
JIRA_API_TOKEN=your_token
JIRA_URL=your_jira_url
JIRA_PROJECT_KEY=your_project_key

4. Run the Application

python main.py

Using an IDE (e.g., Visual Studio Code)

1. Open the project folder in VS Code
2. Open main.py in the editor
3. Click the "Run" button (▶️) in the top-right corner or press F5 (Windows/Linux) / Cmd+F5 (macOS)
4. Alternatively, use the integrated terminal in VS Code and execute: python main.py

Using Terminal/Command Line

Navigate to the project root directory

cd path/to/flight-tracking-agent1

Execute the main Python script

python main.py  # On Windows

OR

python3 main.py  # On macOS/Linux if python command isn't aliased

Note: Ensure your Python environment has all required dependencies installed and the .env file is properly configured before running the application.

🎥 Demo

Check out the video demonstration here: https://www.youtube.com/watch?v=bW7p9Ts85dw

Results

The implementation successfully:

• Generates 5 detailed requirements for the flight tracking application
• Creates Jira tickets for each requirement with acceptance criteria
• Generates 3 test cases for each requirement
• Creates test cases as subtasks in Jira

Future Scope

This project represents the first steps in automating the SDLC. Future enhancements could include:

• Design Agent: To create UI/UX specifications and wireframes
• Code Agent: To generate actual implementation code
• CI/CD Agent: To automate testing and deployment
• End-to-end orchestration platform for all agents