Agentic AI
AI Copresence Offers ADHD Developers Accountability Without Social Pressure
New research reveals how developers with ADHD balance human collaboration with AI-assisted coding tools, gaining focus while avoiding workplace surveillance anxiety.
Developers with ADHD face a persistent tension in modern workplaces: they need structured social presence to maintain focus, yet collaborative settings often trigger performance anxiety and privacy concerns. A new study explores how this population navigates both traditional human collaboration and emerging AI-powered coding partners.
The Challenge of Copresence#
Maintaining attention and motivation within hybrid workplace environments poses outsized challenges for developers with ADHD. Many have historically turned to body doubling—the practice of working alongside another person—or pair programming to scaffold their executive function. These practices provide real accountability and structure that offset attention difficulties.
However, human-centered copresence comes with friction. Developers must constantly manage their professional image, sacrifice personal autonomy, and contend with being watched and evaluated. This social scrutiny can heighten anxiety and limit the psychological safety needed for deep work.
Shifting to AI Partners#
Research from a study of 14 software engineers with ADHD reveals how agentic AI coding assistants are reshaping collaboration dynamics. These developers increasingly use AI tools to maintain accountability and preserve cognitive flow without the social judgment, surveillance, or reputational management that accompany human observers.
The appeal is straightforward: AI copresence provides structure without social cost. Developers can work at their own pace, experiment openly, and sustain focus without the performance pressure that arises when another person is present.
Grounding Design in Theory#
The researchers mapped their findings onto established frameworks—Goffman's copresence theory and Forsgren et al.'s SPACE framework of developer productivity—to understand how social context shapes work. These lenses reveal that AI tools fill a distinct role in the copresence landscape, offering accountability mechanisms that sidestep the interpersonal dynamics that create friction for neurodivergent developers.
Implications for Tool Design#
The study offers design recommendations aimed at building AI-assisted tools that promote inclusive collaboration specifically for developers with ADHD. As agentic AI becomes more embedded in development workflows, understanding how different groups experience copresence—human and digital—becomes essential to creating workspaces where all developers can thrive.

