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On this page
  • Creating or customizing AI Code Review Agents
  • 1. General settings
  • Agent name
  • Agent description
  • 2. Customization options
  • a. Review
  • b. Filters
  • c. Tools
  • 3. Select repositories for code review

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  1. Bito Dev Agents
  2. AI Code Review Agent
  3. Getting Started
  4. Install/run Using Bito Cloud

Create or customize an Agent instance

Customize the AI Code Review Agent to match your workflow needs.

PreviousIntegrate the AI Code Review Agent into the CI/CD pipelineNextClone an Agent instance

Last updated 1 month ago

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provides immediate access to the . To get you started quickly, Bito offers a Default Agent instance—pre-configured and ready to deliver AI-powered code reviews for pull requests and code changes within supported IDEs such as VS Code and JetBrains.

While the Default Agent is ready for use right away, Bito also gives you the option to create new Agent instances or customize existing ones to suit your specific requirements. This flexibility ensures that the Agent can adapt to a range of workflows and project needs.

For example, you might configure one Agent to disable automatic code reviews for certain repositories, another to exclude specific Git branches from review, and yet another to filter out particular files or folders.

This guide will walk you through how to create or customize an Agent instance, unlocking its full potential to streamline your code reviews.

Creating or customizing AI Code Review Agents

Once Bito is connected to your GitHub/GitLab/Bitbucket account, you can easily create a new Agent or customize an existing one to suit your workflow.

Once you have selected an Agent to customize, you can modify its settings in the following areas:

1. General settings

Agent name

Assign a unique alphanumeric name to your Agent. This name acts as an identifier and allows you to invoke the Agent in supported clients using the @<agent_name> command.

Agent description

Provide a concise description of the Agent's purpose, such as the use case or project it will support. This makes it easier to manage multiple Agents.

2. Customization options

Bito provides three tabs for in-depth Agent customization:

a. Review

In this tab, you can configure how and when the Agent performs reviews:

  • Automatic review: Toggle to enable or disable automatic reviews when a pull request is created and ready for review.

  • Automatic incremental review: Toggle to enable or disable reviews for new commits added to a pull request. Only changes since the last review are assessed.

  • Batch time (hours): Set the wait time (0 to 24 hours) for batching new commits before triggering a review. Lower values result in more frequent incremental reviews.

  • Draft pull requests: By default, the Agent excludes draft pull requests from automated reviews. Disable this toggle to include drafts.

  • Automatic summary: Toggle to enable automatic generation of AI summaries for changes, which are appended to the pull request description.

  • Change Walkthrough: Enable this option to generate a table of changes and associated files, posted as a comment on the pull request.

b. Filters

Use filters to customize which files, folders, and Git branches are reviewed when the Agent triggers automatically on pull requests:

  • Exclude Files and Folders: A list of files/folders that the AI Code Review Agent will not review if they are present in the diff. You can specify the files/folders to exclude from the review by name or glob/regex pattern. The Agent will automatically skip any files or folders that match the exclusion list. This filter applies to both manual reviews initiated through the /review command and automated reviews.

c. Tools

Enhance the Agent’s reviews by enabling additional tools for static analysis, security checks, and secret detection:

  • Secret Scanner: Enable this tool to detect and report secrets left in code changes.

3. Select repositories for code review

  1. Click Select repositories to choose Git repositories for the Agent.

  1. To enable code review for a specific repository, simply select its corresponding checkbox. You can also enable repositories later, after the Agent has been created. Once done, click Save and continue to save the new Agent configuration.

To create a new Agent, navigate to the page and click the New Agent button to open the Agent configuration form.

If you’d like to customize an existing agent, simply go to the same page and click the Edit button next to the Agent you wish to modify.

Include Source/Target Branches: This filter defines which pull requests trigger automated reviews based on their source or target branch, allowing you to focus on critical code and avoid unnecessary reviews or AI usage. By default, pull requests merging into the repository’s default branch are subject to review. To review additional branches, you can use the . Bito will review pull requests when the source or target branch matches the list. This filter applies only to automatically triggered reviews. Users should still be able to trigger reviews manually via the /review command.

For more information and examples, see .

When you save the configuration, your new Agent instance will be added and available on the page.

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Code Review Agents
Code Review Agents
Excluding Files, Folders, or Branches with Filters
Code Review Agents
AI Code Review Agent
Include Source/Target Branches filter
Connecting your Bito workspace to GitHub, GitLab, or Bitbucket