Teams can earn stakeholder’s trust and improve shared understanding by explicitly declaring how AI-generated material is used, verified, and integrated.

For example: include this info in your team's Definition of Done.

Consider adding to your Definition of Done:

* AI-generated code is clearly marked
* No AI model outputs in production code not covered by human-managed acceptance tests
* Prompt + model version + date recorded for significant AI-generated sections

If my clients would listen to just one piece of advice:

* teams are the most valuable performance unit.
* small teams adapt faster than large teams.

(that's 2 pieces of advice)

AI trends indicate that, as cognitive grunt work vanishes, small teams are able to make rapid decisions and keep bureaucracy to a minimum.

Small teams (3 to 5 max) are more nimble and learn (together) faster.

Executives tend to think “more people = more productivity”.

But the bottleneck in knowledge work is always the pace of decision-making (i.e., bureaucracy).

More people equals more bureaucracy equals slower teams.

This article illustrates a classic problem with the common use of #velocity as a metric.

https://betterteams.fm/articles/2019/06/Velocity-Escape-this-Pitfall/

#noestimates #escapevelocity