Automating Code Compliance: AI-Driven Code Style Enforcement for Pull Requests
Overview
As teams increasingly rely on automation for code quality and compliance, ensuring consistent coding standards can be challenging during the pull request (PR) process. In this article, we explore how to build an AI-powered style enforcement pipeline using modern tools like GPT-4 and CI/CD workflows.
You’ll learn how to:
- Enforce best practices and team-specific coding guidelines without manual intervention.
- Integrate automated code reviews into your PR pipelines.
- Leverage AI to detect style violations, generate actionable reports, and even suggest fixes.
With this in place, you can lower the amount of time code reviews take your engineers, and even have the Pull Request be rejected until the resolutions are addressed and marked as complete.
How It Works
- We will set up a Pipeline that will be triggered upon a new Pull Request in the repository.
- If there are modified PowerShell files (ex:
.ps1, .psm1, .psd1
) - Then, import