
The paradigm, not the skills
Hiring and training are not enough: moving to AI asks experienced developers to question the deterministic way they have always designed software.
Professional growth takes direction, not just effort. These articles cover goals, change, and what we learn, or fail to learn, from our mistakes.

Hiring and training are not enough: moving to AI asks experienced developers to question the deterministic way they have always designed software.

Ability differences between boys and girls are minimal, yet the expectations of teachers, families and employers shape their study and career choices.

Global markets, better-informed customers and fast-moving technology make quick decisions hard: a review of the obstacles and of ways to handle them.

Heuristics save mental effort but skew our judgments of people: where this error comes from and how to reduce its weight in our assessments.

In liquid modernity careers no longer follow a set track: self-esteem, self-efficacy, and monitored goals turn each change into real professional growth.
There is always a gap between what we mean and what the listener understands; eight elements help narrow it with people from other cultures.