What Are the Steps to Incorporate AI Code Review into Your DevOps Pipeline?
The fast-paced nature of today’s DevOps practices demands much more from developers and the tools they use. This includes the various tools used to build the DevOps pipelines.
As teams expand and become more robust, so does the need for a code review solution that you can rely on. Companies often turn to AI solutions to help with their day-to-day tasks.
AI code review can easily be implemented into your DevOps pipelines using Qodo Merge to review your pull requests.
Understanding Qodo AI for DevOps
Qodo Merge integrates into your preferred git providers, such as GitHub, GitLab, Bitbucket, and Azure DevOps, to help review and provide suggestions on specific aspects of the pull requests.
Integration with GitHub
It is straightforward to use Qodo with GitHub.
1. Signing up for an account on Qodo
It is as easy as navigating to the Qodo login page and selecting your preferred way to sign up / sign in. You have the option to use your Google or GitHub Account, or you can simply use your email address to continue.
2. Configuring Qodo
After signing in to your Qodo account, you can select your preferred Git platform, and in this case, we will be using GitHub.
3. Authorizing Qodo
Once you’ve selected GitHub, you will need to authorize Qodo to access your GitHub account.
Once successfully authorized, the connection will be visible on the Qodo configuration page.
4. Enabling Qodo on GitHub repositories
Qodo requires the installation of its application with the required repositories within your GitHub account. To install the application, simply click “Install” as shown below.
You can choose to install the Qodo agent on all repositories or a selected set.
Reviewing GitHub Pull Requests with Qodo Merge
Once set up, no configuration is required to start using the application to review your pull requests!
As soon as a pull request is created, the Qodo bot generates a quick summary of the pull request and a description for the pull request, reviewer guide, and code suggestions.
These insights give the reviewer a quick start on the areas of focus to reduce the time it takes to complete the review and to ensure that any critical security issues are looked at.
Pull Request Description
Pull Request Reviewer Guide
Pull Request Code Suggestions
Users can also use the pull request chat feature to further analyze the pull request and associated code by using the following options:
- /analyze
- /test component_name
- /add_docs component_name
- /improve_component component_name
- /find_similar_component COMPONENT_NAME
- /help
Using The /analyze Function
Using the /analyze function within the pull request comments will provide a table view of the various analysis options available.
Users can select the necessary components within the table to generate insights on them.
When selecting the “Improve” component, the Qodo bot generates aspects of the code that can be improved and provides detailed suggestions.
Using The /help Function
Qodo merge also provides an easy way to search the documentation in natural language.
Integration with VSCode
In addition to the Qodo Merge that integrates with Git platforms, Qodo also provides Qodo Gen, which easily integrates into either Visual Studio Code or JetBrains.
This IDE plugin supports a range of commands that you can execute within the IDE itself:
Wrapping Up
Efficient code review tools are essential to keep up with demands. AI-driven solutions like Qodo AI streamline the process, providing quick insights into code quality, security, and best practices.
With Qodo Merge, teams can easily integrate automated code reviews into platforms like GitHub, GitLab, and Azure DevOps. The simple setup and features like real-time suggestions and reviewer guides reduce review times while ensuring high-quality code.
Additionally, Qodo Gen directly enhances code quality within IDEs, making Qodo AI a valuable tool for any DevOps pipeline, enabling teams to deliver secure, high-performance software faster.