Proofpoint (United States)

Developer productivity initiatives often backfire when organizations focus solely on output metrics without considering the human elements of software creation. This article examines common pitfalls that undermine developer effectiveness, including metric obsession, micromanagement, context-switching, ambiguous expectations, inadequate tooling, technical debt neglect, collaboration silos, deadline-driven development, feedback deprivation, and neglected well-being. By identifying these counterproductive patterns, engineering leaders can instead build sustainable productivity models centered on outcome-based measurement, developer autonomy, focused work environments, and continuous learning cultures. The goal shifts from maximizing short-term output to creating conditions where developers can consistently deliver high-quality solutions while maintaining motivation and sustainable work practices.

A new generation of particle swarm optimization (PSO) has been developed that automatically evolves optimal or near-optimal values for parameters of the PSO algorithm such as population size and neighborhood size, and, if used, parameters of associated neural network(s), such as number of hidden processing elements (PEs). Called Deep Swarm, it is a nested version of PSO, and comprises swarms within a swarm.

Représenter, en russe, une pièce de Tchekhov était une gageure que le Théâtre Universitaire de Saint-Pétersbourg a parfaitement tenue ! La salle Fourrier, où les acteurs se sont produits, était comble et les applaudissements furent au rendez-vous. Simple spectateur, ignorant tout du théâtre de Tchekhov, c'est avec quelques craintes que j'avais décidé de suivre ces 7e Rencontres universitaires.L'exposition Tchekhov en cinq actes, puis les deux conférences de Serge Rolet, sur Tchekhov et son te...