Overview
Sometimes our customers are interested in understanding how CloudFix ensures that code is peer-reviewed before each release or deployment to production, and how this review process is integrated into the release management workflow. This article aims to clarify CloudFix's code review and release management procedures.
Solution
CloudFix ensures that code is peer-reviewed before each release or deployment to production through the following process:
- Each change to each stage (QA, STAGING, PRODUCTION) should be done via a pull request.
- Each pull request requires a review before it gets merged.
- Each pull request requires tests to pass before it gets merged.
The review process is integrated into the release management workflow as follows:
- The review requires code review on any critical issues and implementation correctness by a human.
- AI checks are performed to help humans verify the pull request.
- Each pull request requires tests set to pass before the merge. Those tests include static analysis checks, unit tests, functional tests, and integration tests to ensure the highest quality of the implementation.
Summary
CloudFix's peer-to-peer code review process ensures that all code is thoroughly reviewed and tested before being merged and deployed to production. This process is integrated into the release management workflow to maintain the highest quality of code implementation.
FAQ
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What is the role of AI in the code review process?
AI checks are performed to assist humans in verifying the pull request. This includes checking for any potential issues that might have been overlooked. -
What tests are required to pass before a pull request gets merged?
Before a pull request can be merged, it must pass static analysis checks, unit tests, functional tests, and integration tests. -
How is the code review process integrated into the release management workflow?
The code review process is integrated into the release management workflow through a series of checks and tests that must be passed before a pull request can be merged and deployed to production.
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