On: How to drive away your best engineers

[drdec]

> without an assessment of complexity

The point of ML is that that can happen without human intervention.

And yes, I agree that if devs are held accountable to such timelines that would be terrible.

But if they are used for business planning with the understanding that they will not be accurate in the specific, but hopefully in the aggregate, then that's fine. (This is how engineer's estimates should be used as well for that matter.)

[BaseballPhysics → drdec]

> The point of ML is that that can happen without human intervention.

What kind of wizardry is this? What are the inputs to this ML? The vague requirements supplied by the customer and filtered through a sales rep?

Please. ML isn't magic. Hell, what would this magical model even be trained on??