19｜About AI Rules Design

?Introduction

AI has a high degree of freedom.

That is why quality is not stable.

Even with the same request,

it can generate different code.

Design ideas can wobble as well.

Maintainability also decreases.

What becomes necessary then is AI Rules.

?What are AI Rules

AI Rules are

development guidelines for AI.

Prohibitions.

Recommendations.

Design standards.

Quality criteria.

Naming conventions.

Structural definitions.

Review standards.

These should be formalized.

?Rules are not constraints

From the word “rules,”

some people think they restrict freedom.

But actually the opposite is true.

AI’s performance improves as the amount of criteria increases.

Standards become clear.

Quality becomes stable.

Reviews become easier.

Maintenance becomes lighter.

In other words, AI Rules are

a supplementary device to unleash AI capability.

?Quality Management in the AI Era

Traditionally, humans wrote code.

From now on, AI will generate it.

In that case,

the important thing is not generation capability.

It is the ability to manage the quality of generation.

AI Rules function as

a quality standard for that purpose.

?MAEP Perspective

AI is smart.

But without standards, it will hesitate.

Rules do not bind AI.

They are a guideposts to avoid AI confusion.

✅Summary

AI Rules are

design guidelines for standardizing quality in MetaTrader development.