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◆ AI Learning · Hard rule

When should a developer discuss changes with a user before making them?

A developer must discuss changes with the user before making them. This applies to changes affecting cost, speed, data, or reputation. This rule has no exceptions.

By Pawan Nayar · from the LLOS AI Learning record

The rule

A developer must discuss changes with the user before making them.

This applies to changes affecting cost, speed, data, or reputation. This rule has no exceptions.

A developer must always discuss changes that affect cost, speed, data integrity, or reputation. This discussion happens before the changes are put into action. This rule is universal and applies to all projects. Examples of such changes include adding tokens to prompts or changing how data is stored. It also includes switching AI models or adding network calls. A quick discussion can prevent big problems. Asking 'Does this change affect cost, speed, or data?' takes only a few seconds. Fixing a bad decision can take many hours. If a developer is unsure, the developer should assume the change will have an effect and ask.

A developer adds a new feature to an AI model. This feature makes the model use more computing power. The developer does not discuss this with the manager. The manager later sees a large increase in project costs. This could have been avoided with a short discussion.

Words you'll need

Resolved from this lesson's own record — real definitions, not invented for this page.

Change Management

Helping people work with new AI tools and processes

System Architecture

The blueprint of how AI pieces fit together

Data Governance

Rules for who owns and can use data

Ethical AI

AI that respects fairness and human rights

Questions people ask

More from the same record, pulled by shared topic — not written new for this page.

When should a developer discuss changes with a user before making them?

A developer must discuss changes if they affect money spent, how fast something works, the correctness of information, or how people view the project. This includes adding words to AI prompts or changing how data is stored.

How can an AI model store and manage all the text it generates?

An AI model can use a special database to keep all its generated text. This database should allow fast searching.

How can an AI model avoid repeating past design mistakes?

A developer must learn and apply specific design rules. These rules guide the AI model's behavior.

How should a developer document the parts of an AI system?

A developer should list each major component of the AI system. For each component, the developer must describe its purpose.

What to remember

A developer must discuss changes with the user before making them. This applies to changes affecting cost, speed, data, or reputation. This rule has no exceptions.