Automated Code Evaluation with ChatGPT in GitLab Merge Requests

How it works

The workflow titled "Automated Code Evaluation with ChatGPT in GitLab Merge Requests" is designed to enhance the code review process within GitLab merge requests by leveraging the capabilities of ChatGPT. The workflow operates as follows:

1. Trigger Node:

The workflow begins with a GitLab Trigger node that activates when a new merge request is created or updated. This node captures relevant details such as the merge request ID, the author, and the code changes.

2. Get Merge Request:

Following the trigger, a GitLab node retrieves the specific merge request details using the merge request ID. This includes the source branch, target branch, and the actual code changes that need evaluation.

3. Prepare Code for Evaluation:

The workflow then formats the code changes into a structured format suitable for evaluation. This step may involve extracting the diff or specific lines of code that require review.

4. ChatGPT Node:

The formatted code is sent to a ChatGPT node, which processes the input and generates a code evaluation report. This report typically includes suggestions for improvements, potential bugs, and overall code quality assessment.

5. Post Evaluation:

After receiving the evaluation from ChatGPT, the workflow can optionally post the feedback back to the GitLab merge request as a comment. This allows the author and reviewers to see the insights generated by ChatGPT directly within the merge request interface.

6. End of Workflow:

The workflow concludes after posting the evaluation or can be extended with additional nodes for further actions based on the evaluation results.

Key Features

- Automated Code Review:

The integration of ChatGPT allows for an automated and intelligent review of code, reducing the manual effort required by developers.

- Real-Time Feedback:

As soon as a merge request is created or updated, the workflow provides immediate feedback, facilitating quicker iterations and improvements.

- Customizable Evaluation Criteria:

Users can tailor the prompts sent to ChatGPT to focus on specific aspects of the code, such as performance, security, or adherence to coding standards.

- Seamless Integration with GitLab:

The workflow is fully integrated with GitLab, allowing for a smooth user experience without the need for external tools or manual processes.

Tools Integration

The workflow utilizes the following tools and integrations:

- GitLab:

The primary platform for managing merge requests. Nodes used include:

• GitLab Trigger: To initiate the workflow on merge request events.

• GitLab Node: To fetch merge request details and post comments.

- ChatGPT:

The AI model used for generating code evaluations. The ChatGPT node processes the code input and returns feedback.

API Keys Required

To operate this workflow, the following API keys and credentials are necessary:

- GitLab API Key:

Required for authenticating requests to the GitLab API to access merge request data and post comments.

- OpenAI API Key:

Needed for accessing the ChatGPT service to generate code evaluations.

No additional API keys or credentials are required beyond those mentioned above.