Hello Enhance Team,

I understand that in previous discussions it has been recommended not to use AI directly for server maintenance, in order to avoid unexpected system issues.

This recommendation is completely understandable. Enhance has implemented significant architectural customization, and without a clear understanding of the internal structure, it can be difficult to locate the correct file paths or system components. In the past, we have also encountered situations where we needed assistance from support to obtain the correct paths.

However, between 2025 and 2026, AI capabilities have grown explosively. In my company and among several partner companies, AI is already heavily integrated into our development workflow to improve productivity. I even know companies that, with a team of only three people, have built a complete sales platform and management panel by combining AI with basic server panels.

Modern AI systems can now operate within defined architectures using skills, tools, and constrained environments, allowing them to work safely without deviating from the intended system structure. The capabilities of AI for development and maintenance are now on a completely different level compared to the past, especially with tools such as Claude Code.

Additionally, two well-known panels that are somewhat comparable to Enhance — xCloud and FlyWP — have experienced rapid growth and updates over the past two years. Their developments include features such as:

Integrated backup management

Malware and security scanning integration

Support for non-WordPress applications

Additional automation tools for infrastructure management

These are also features that many of us currently hope to see within the Enhance ecosystem.

To clarify, this is not the primary purpose of my post. I fully understand that each development team has its own philosophy and workflow, whether AI is used or not.

What I would like to highlight is that many new infrastructure platforms are emerging in the market. Even established service providers are beginning to publish AI skill documentation and MCP (Model Context Protocol) integrations.

The reason is simple: modern users increasingly rely on AI to build and deploy websites. With MCP, users can allow AI to deploy and manage websites directly without requiring excessive system permissions or administrator intervention. This creates a safer and more scalable environment for users to operate their own sites.

If Enhance could provide more comprehensive architecture documentation that allows AI systems to properly understand the platform — or introduce a restricted AI interaction layer (for example, limiting AI operations to site-level configuration and maintenance) — or even provide an official MCP endpoint for integration, it would be extremely valuable.

I believe this would significantly strengthen Enhance’s position in the evolving AI-driven infrastructure ecosystem and help users like us operate more efficiently with the platform.

Thank you for your continued work and development on Enhance.

My native language is not English, so I used AI to help translate my message.