Most product changes do not enter a company as clean technical tasks.
They arrive as rough business intent. A customer is confused. A workflow feels slow. A new case must be supported. Some manual operation should be automated. Someone says: "can we just make it work like this?"
But "this" is usually not precise yet.
It still contains hidden assumptions, missing context, old product decisions, operational constraints and trade-offs nobody has fully discovered and named.
This is the landscape engineers operate on.
Someone has to clarify what the request actually means. Not only linguistically, but structurally: what behavior changes, what must stay stable, what edge cases matter, what risks appear, what parts of the system has to be changed and how, and what future product direction this change quietly commits the system to.
AI can help greatly in structuring intents, reviewing impact surface an planning implementation. But out-of-the-box all this adds unnecessary complexity which becomes unbearable very soon.
Here engineers must take their part again so that a vague conversation is transformed into a reliably working feature really adding customer value instead of mindless product change, experimentation for the experimentation sake.
A core part of engineering is preventing unclear intent from becoming expensive reality.
