I Built a Free AI Architect to Stop Spaghetti Code in GitHub Actions

📰 Dev.to AI

Learn how to use a free AI architect to detect spaghetti code in GitHub Actions and improve code quality

intermediate Published 6 Jul 2026

Action Steps

Build a GitHub Actions workflow to integrate the AI architect
Configure the AI architect to detect specific architectural flaws
Run the AI architect on existing codebases to identify areas for improvement
Test the AI architect with sample code to fine-tune its settings
Apply the AI architect's suggestions to refactor code and improve maintainability

Who Needs to Know This

Developers and code reviewers can benefit from this tool to automate code reviews and ensure architectural consistency

Key Insight

💡 Automating code reviews with AI can help detect architectural flaws and improve code quality

Key Takeaways

Learn how to use a free AI architect to detect spaghetti code in GitHub Actions and improve code quality

Full Article

Let’s be honest: reviewing Pull Requests for architectural flaws is exhausting. While ESLint is great at yelling at you for missing semicolons, it won’t say a word if a junior developer writes business logic directly inside an Express route, or tightly couples a Mongoose model to a Controller. Over time, this leads to spaghetti code that becomes impossible to maintain. I got tired of repeating the same architectural advice in code reviews, so I decided to build a robot to do it

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