InfoQ Culture Methods

FEBRUARY 25, 2021

Machine learning is a powerful new tool, but how does it fit in your agile development? Developing ML with agile has a few challenges that new teams coming up in the space need to be prepared for - from new roles like Data Scientists to concerns in reproducibility and dependency management. By Jay Palat.

Machine Learning 125

Machine Learning Artificial Inteligence Agile Development 125

James Shore

APRIL 27, 2024

I’ve been quiet lately, and that’s because I’ve joined OpenSesame as Vice President of Engineering. It’s been a fascinating opportunity to rebuild an engineering organization from the inside, and I’m loving every minute. What I’m really doing is changing the engineering culture at OpenSesame. It tends to snap back.

Software Engineering 75

Software Engineering Engineering Technical Advisors Software 75

InfoQ Culture Methods

FEBRUARY 24, 2023

In this article, Tariq King describes the metaverse concept, discusses its key engineering challenges and quality concerns, and then walks through recent technological advances in AI and software testing that are helping to mitigate these challenges.

Testing 125

Testing Engineering Software Artificial Inteligence 125

Altexsoft

MARCH 3, 2023

The roles inside a cross-functional product development team In this section, we’ll address some key roles that might be present inside a cross-functional product development team. Here, we will focus on software development so the roles will be chosen correspondingly.

Examples 52

Examples UI/UX Development Technical Review 52

LeanEssays

JULY 14, 2019

See How Google Tests Software , [7] by James Whittaker, Jason Arbon, and Jeff Carollo for more information. The Lean Approach to Software It’s hard to count the many times that someone told me “software development is not like manufacturing.” Managers are mentors who help people and teams learn how to learn. [8]

Software Review 91

Software Review Software Engineering Continuous Delivery Technical Review 91