Welcome to the world of automated assistance! PR Pilot is designed to help developers streamline their daily tasks by delegating routine work to AI, improving efficiency and predictability. In this guide, we will walk through the steps to set up and utilize PR Pilot effectively in your workflow.
Getting Started with PR Pilot
To start, you’ll need to follow some brief installation steps and set up your environment. Let’s dive in!
Installation Steps
Before we jump into using PR Pilot, ensure you have the necessary components in place:
- Clone the PR Pilot repository:
git clone https://github.com/PR-Pilot-AI/pr-pilot.git
cd pr-pilot
pip install -r requirements.txt
python manage.py migrate
python manage.py createsuperuser
python manage.py runserver
Lastly, if you want to expose your server to the internet, consider using ngrok:
ngrok http 8000
Interacting with PR Pilot
Once you’ve set everything up, you can interact with PR Pilot in various ways:
- Command-Line Interface: Use the command line to execute tasks. For example:
bash
pilot edit main.py Add docstrings to all functions and classes
python
from pr_pilot.util import create_task, wait_for_result
prompt = "Find all bug issues created yesterday on Slack and Linear."
github_repo = "PR-Pilot-AI/pr-pilot"
task = create_task(github_repo, prompt)
result = wait_for_result(task)
print(result)
bash
curl -X POST https://app.pr-pilot.ai/api/tasks \
-H "Content-Type: application/json" \
-H "X-Api-Key: YOUR_API_KEY_HERE" \
-d '{ "prompt": "Properly format the README.md and add emojis." }'
Understanding the Code: An Analogy
Think of PR Pilot as a highly efficient assistant in a bustling office. Each interaction you have with PR Pilot, whether through the command line, SDK, or REST API, is like placing an order for a specific task. Just like a chef in a restaurant who takes these orders, PR Pilot processes your commands, gathering the necessary ingredients (data) and cooking up the desired results (outputs) quickly and accurately.
Troubleshooting
If you encounter any issues while using PR Pilot, consider these troubleshooting tips:
- Ensure that all environment variables are set up correctly.
- Check that your API keys are valid and correctly formatted.
- Review the logs for any errors or warnings that might indicate configuration issues.
- If problems persist, it might help to restart your server to clear any transient issues.
For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.
Unit Testing Your Setup
To ensure your setup is functioning as expected, you can run unit tests using Tox, which is configured for the project:
bash
tox
Conclusion
By integrating PR Pilot into your daily workflow, you can increase productivity and ensure consistency in routine tasks. It’s a valuable tool in any developer’s toolkit!
At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.

