Getting Started
Let's start with the basic stuff first.
This guide will help you get Oracle Developer installed and configured so you can start benefiting from its AI-powered coding assistant.
How To Use Webhooks
Supported Repository hosts
Github
Bitbuckt
Gitlab
Webhook url - OD Pair
Oracle developer pair webhook url
How to Connect to Github
Log into you github account
Get the git token
log into oraceldev.ai
paste the git token
Go to the settings page of the git repository
Under webhooks, add the OD pair url
How to Connect to Gitlab
Log into you gitlab account
Get the git token
log into oraceldev.ai
paste the git token
Go to the settings page of the git repository
Under webhooks, add the OD pair url
How to Connect to Bitbucket
Log into you bitbucket account
Get the git token
log into oraceldev.ai
paste the git token
Go to the settings page of the git repository
Under webhooks, add the OD pair url
Python Installation
Oracle Developer is available as a Python package on PyPI. You can install it using pip:
Be sure you are using Python 3.6 or higher. The installation will also install required dependencies like Transformers, SciPy, and NumPy.
Alternatively, you can install from source by cloning the GitHub repository:
Authentication
To enable Oracle Developer's full capabilities, you need to authenticate with an API key:
Sign up on oracle.ai to obtain your free API key
Set the
ORACLE_KEY
environment variable:
<!---->
This will authorize you to use Oracle's AI models and access cloud features.
Integrations
To use Oracle Developer's code improvement suggestions and pull requests, you will need accounts with your Git host (GitHub, GitLab, etc).
Configure your Git account in Oracle's settings:
This will allow Oracle to interface with your repositories.
That covers the basics of getting set up! Try our usage examples next to see Oracle Developer in action. Let us know if you have any installation issues.
Last updated