Since the dawn of software development, we've struggled with a huge disconnect between the management world and the engineering world. We try to explain our problems in terms of “technical debt”, but somehow the message seems to get lost in translation, and we drive our projects into the ground, over and over again.
What if we could detect the earliest indicators of a project going off the rails, and had data to convince management to take action? What if we could bridge this communication gap once and for all?
In this session, we'll focus on a key paradigm shift for how we can measure the human factors in software development, and translate the “friction” we experience into explicit risk models for project decision-making.
Arty Starr has been a software engineer for 20+ years and is a researcher and pioneer of new theories of the developer's cognitive experience that help us recognize how developers' experiences are changing with AI. Her theories of developer momentum and troubleshooting help us see software development through an ecological lens, recognizing it as a living activity in motion and the living capacities of care and cognition that support this motion. Her aim is to bring heart, human-centric values, and agency to the craft of software development so we can build toward the type of world we want to live in. With richer perception and by recognizing what matters, we can light a path to a future of thriving habitats where humans and AI can collaborate well and thrive together.
Arty is the author of Idea Flow, a speaker, thought leader, and artist who loves mixing ideas across disciplines into a fusion of creativity to help make the world a better place through her projects.