🚀Getting started
Deploy the AI Code Review Agent in Bito Cloud or opt for self-hosted service.
The AI Code Review Agent supports two deployment options:
Each option comes with its own set of benefits and considerations.
This guide walks you through both options to help you determine which deployment model best fits your team’s needs.
Bito Cloud
Bito Cloud provides a managed environment for running the AI Code Review Agent, offering a seamless, hassle-free experience. This option is ideal for teams looking for quick deployment and minimal operational overhead.
Pros:
Simplicity: Enjoy a straightforward setup with a single-click installation process, making it easy to get started without technical hurdles.
Maintenance-Free: Bito Cloud takes care of all necessary updates and maintenance, ensuring your Agent always operates on the latest software version without any effort on your part.
Scalability: The platform is designed to easily scale, accommodating project growth effortlessly and ensuring reliable performance under varying loads.
Cons:
Handling of Pull Request Diffs: For analysis purposes, diffs from pull requests are temporarily stored on our servers.
Self-hosted service
Self-hosted AI Code Review Agent offers a higher degree of control and customization, suited for organizations with specific requirements or those who prefer to manage their own infrastructure.
Pros:
Full Control: Self-hosting provides complete control over the deployment environment, allowing for extensive customization and the ability to integrate with existing systems as needed.
Privacy and Security: Keeping the AI Code Review Agent within your own infrastructure can enhance data security and privacy, as all information remains under your direct control.
Cons:
Setup Complexity: Establishing a self-hosted environment requires technical know-how and can be more complex than using a managed service, potentially leading to longer setup times.
Maintenance Responsibility: The responsibility of maintaining and updating the software falls entirely on your team, which includes ensuring the system is scaled appropriately to handle demand.
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