The Technical Irrational – Amras

The Innovation of Cumulative Cultures and Developer Problem-Solving

Did you know that crows are better than toddlers at generating novel solutions? It's true! In the earliest days of childhood, around the globe scientists have documented that human cognition struggles to generate novel solutions. But we are adept at imitation, transmitting and teaching the solutions that we see others put into practice. What does this have to do with software, and innovation, and the cultures we want to create for the communities we love? I'm a psychologist fascinated by cycles of innovation in developer communities, and I think a simple reframe lights the way forward for our industry: in this talk, rather than focusing on what drives individual developer productivity, together we’re going to focus on the science of what drives developers’ collaborative problem-solving. We'll dive into the cognitive architecture of problem-solving, as well as what I've learned from leading empirical research with thousands of developers. Dr Cat Hicks Cat Hicks is a psychologist for software teams and defender of the mismeasured. She is the author of the Developer Thriving framework, the AI Skill Threat framework, and the VP of Research at Pluralsight. Cat is the founder of the Developer Success Lab, an open science research lab that creates empirical evidence about how organisations and individuals can achieve sustainable, resilient innovation in technology and create more well-being for technologists. Cat is also the founder of Catharsis Consulting, a scientific consultancy that connects organisations to human-centred evidence strategies. Cat holds a Ph.D. in Quantitative Experimental Psychology from UC San Diego, serves on the Advisory Council of the University of San Diego Center for Digital Civil Society, and is the author of a forthcoming book on the psychology of software teams.

Vibe coding has turned senior devs into ‘AI babysitters,’ but they say it’s worth it | TechCrunch

TechCrunch spoke to experienced coders about their time using AI-generated code about what they see as the future of vibe coding.