Скачать или смотреть VibeCoding like a champ: Implementing AI Code Reviews

Welcome back to the "Vibecoding like a champ!" series! In this episode, we're tackling one of the biggest challenges of AI-assisted development: maintaining high code quality. While AI can accelerate development, it can also introduce errors and code duplication if not properly managed.

Join me as I walk you through the major refactoring effort I undertook to solve this problem. I'll show you how I implemented a comprehensive caching system and, most importantly, integrated an automated code review system directly into my development workflow. This system acts as a quality gate, ensuring every piece of code meets strict standards before moving forward.

In this video, you'll see:

The Problem: How a simple task of adding reference tables led to hundreds of test errors and code duplication. [00:50]

The Solution: Introducing rigorous quality standards and automated code reviews at each checkpoint. [02:50]

The Code Review Checklist: A deep dive into the 10+ criteria my system checks for, including authorization, error handling, code metrics, test coverage, and performance. [08:25]

Practical Application: A real-world example of the code review system in action during a service refactoring.

Integration Testing: How I use Gherkin and "Path Flow" to validate the success of our refactoring efforts. [14:20]

This is my strategy for ensuring that speed doesn't come at the cost of quality. It's about building robust, maintainable software with the help of AI, not despite it.

#VibeCoding #CodeReview #AI #SoftwareDevelopment #CleanCode #CSharp #QualityAssurance #DevOps #Programming