Integrate the AI Code Review Agent into the CI/CD pipeline

Automate code reviews in your Continuous Integration/Continuous Deployment (CI/CD) pipeline—compatible with all CI/CD tools, including Jenkins, Argo CD, GitLab CI/CD, and more.

Bito Cloud lets you integrate the AI Code Review Agent into your CI/CD pipeline for automated code reviews. This document provides a step-by-step guide to help you configure and run the script successfully.

Installation and Configuration Steps

Follow the step-by-step instructions provided here to install the AI Code Review Agent using Bito Cloud. Review the Prerequisites, Installation and Configuration Steps, and the Webhook Setup Guide provided there.
Download the bito-action-script folder from GitHub, which includes a shell script (bito-actions.sh) and a configuration file (bito_action.properties).
You can integrate the AI Code Review Agent into your CI/CD pipeline in two ways, depending on your preference:

Option 1: Using the bito_action.properties File
- Configure the following properties in the bito_action.properties file located in the downloaded bito-action-script folder.

Property Name

Description

Run the following command:
- ./bito_actions.sh bito_action.properties
- Note: When using the properties file, make sure to provide all the three parameters in .properties file

Option 2: Using Runtime Values
- Provide all necessary values directly on the command line:
  - ./bito_actions.sh agent_instance_url=<agent_instance_url> agent_instance_secret=<secret> pr_url=<pr_url>
  - Replace <agent_instance_url>, <secret>, and <pr_url> with your specific values.
- Note: You can also override the values given in the .properties file or provide values that are not included in the file. For example, you can configure agent_instance_url and agent_instance_secret in the bito_action.properties file, and only pass pr_url on the command line during runtime.
  - ./bito_actions.sh bito_action.properties pr_url=<pr_url>
  - Replace <pr_url> with your specific values.

Incorporate the AI Code Review Agent into your CI/CD pipeline by adding the appropriate commands to your build or deployment scripts. This integration will automatically trigger code reviews as part of the pipeline, enhancing your development workflow by enforcing code quality checks with every change.

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Installation and Configuration Steps

Follow the step-by-step instructions provided here to install the AI Code Review Agent using Bito Cloud. Review the Prerequisites, Installation and Configuration Steps, and the Webhook Setup Guide provided there.

Download the bito-action-script folder from GitHub, which includes a shell script (bito-actions.sh) and a configuration file (bito_action.properties).

You can integrate the AI Code Review Agent into your CI/CD pipeline in two ways, depending on your preference:

Option 1: Using the bito_action.properties File

Configure the following properties in the bito_action.properties file located in the downloaded bito-action-script folder.

Property Name

Description

Run the following command:

./bito_actions.sh bito_action.properties
Note: When using the properties file, make sure to provide all the three parameters in .properties file

Option 2: Using Runtime Values

Provide all necessary values directly on the command line:
- ./bito_actions.sh agent_instance_url=<agent_instance_url> agent_instance_secret=<secret> pr_url=<pr_url>
- Replace <agent_instance_url>, <secret>, and <pr_url> with your specific values.
Note: You can also override the values given in the .properties file or provide values that are not included in the file. For example, you can configure agent_instance_url and agent_instance_secret in the bito_action.properties file, and only pass pr_url on the command line during runtime.
- ./bito_actions.sh bito_action.properties pr_url=<pr_url>
- Replace <pr_url> with your specific values.

Incorporate the AI Code Review Agent into your CI/CD pipeline by adding the appropriate commands to your build or deployment scripts. This integration will automatically trigger code reviews as part of the pipeline, enhancing your development workflow by enforcing code quality checks with every change.