Rootstack led a strategic refactoring process for our client's website backend, incorporating a controlled AI Vibe Coding approach. This accelerated analysis, code reorganization, and technical decision-making without compromising the stability of the production system. The main challenge was transforming a backend that had grown without a defined architecture, while maintaining operational continuity and minimizing risks.

To achieve this, the team's experience was combined with artificial intelligence tools such as Claude Code and GitHub Copilot, which served as technical copilots throughout the process.

Backend Restructuring

Using AI, the understanding of a complex codebase was facilitated, and the reorganization toward a clearer, more modular architecture was accelerated:

• Separation of layers (controllers, services, business logic) suggested and validated with AI.
• Identification of unnecessary coupling and proposals for decoupling.
• Large-scale standardization of code structures and conventions.
• Detection and elimination of duplicate code through assisted analysis.
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Route and Endpoint Refactoring

AI enabled the identification of inconsistent patterns in routes and endpoints, proposing improvements aligned with modern best practices:

• Automatic naming convention normalization.
• Reorganization of endpoints according to functional domains.
• Improved request and response management.
• Generation of more robust validations at entry points.

Architecture Stabilization

The use of AI-assisted code writing enabled not only the implementation of changes but also the definition of a more robust architectural foundation:

• Guided application of clean architecture principles.
• Definition of reusable patterns suggested by AI and adapted to the business context.
• Improved traceability and understanding of the system flow.
• Preparation of the backend for future integrations and scalability.

Security Enhancement

Artificial intelligence was used as an additional layer of analysis to detect vulnerabilities and strengthen the system:

• Identification of potential vulnerabilities in existing endpoints.
• Improved data validation and error handling.
• Recommendations for strengthening access controls.
• Implementation of security best practices in APIs.