AI coders are carrying half-open laptops through airports, offices, and ice rinks – Business Insider
- Software developers are adopting a distinct physical habit in public spaces, carrying laptops that are left slightly open or cracked rather than fully closed.
- The trend is a direct result of the shift from AI assistants, which suggest code in real-time, to AI agents that can operate independently over extended periods.
- These agents do not simply suggest text; they can navigate file systems, execute terminal commands, run tests, and iterate on bug fixes without a human guiding every keystroke.
Software developers are adopting a distinct physical habit in public spaces, carrying laptops that are left slightly open or cracked rather than fully closed. This behavior, reported by Business Insider, has been observed in unconventional settings including airports, offices, and ice rinks, and is driven by the integration of autonomous AI coding agents into the development workflow.
The trend is a direct result of the shift from AI assistants, which suggest code in real-time, to AI agents that can operate independently over extended periods. While traditional AI tools like autocomplete functions require constant human interaction, new agentic tools—such as Claude Code—can be assigned complex goals and left to execute them autonomously.
These agents do not simply suggest text; they can navigate file systems, execute terminal commands, run tests, and iterate on bug fixes without a human guiding every keystroke. Because these tasks often take significant time to complete, the continuity of the process is critical to the agent’s success.
The Technical Necessity of the Half-Open Lid
The primary driver behind the half-open laptop is the way modern operating systems handle power management. When a laptop lid is closed, the system typically enters a sleep or hibernation state to conserve battery. This state suspends active processes and disconnects network sessions.
For a developer using an AI agent, a system sleep trigger can be catastrophic to the current task. If an agent is in the middle of a multi-step refactoring process or is waiting for a long-running test suite to finish, a sleep event can kill the parent process or break the connection to the AI model, forcing the developer to restart the task from the beginning.
By keeping the laptop lid partially open, developers prevent the hardware sensor from triggering the sleep mode. This allows the AI agent to continue working in the background while the developer moves through a terminal, walks through an airport, or attends to other activities, effectively turning the laptop into a portable, always-on server.
The Rise of Agentic Workflows and Vibe Coding
This behavioral shift reflects a broader evolution in software engineering known as agentic workflows. In this model, the developer’s role shifts from writing line-by-line code to acting as an orchestrator or reviewer. This has led to the emergence of a practice often described as vibe coding, where the developer provides high-level intent—the vibe—and the AI agent handles the technical implementation.

Developers such as Geoff Chan, Arav Jain, Andreas Kruszakin-Liboska, and Will Meinhardt have been associated with these emerging AI-driven development patterns. The ability to delegate a complex task to an agent and leave the machine running allows developers to decouple their physical presence from the actual act of coding.
This decoupling creates a new dynamic where the computer is no longer just a tool for active input, but an autonomous worker that requires a constant power state to remain productive.
Impact on the Developer Experience
The transition to agent-led development introduces new risks and trade-offs. Carrying a half-open laptop increases the likelihood of physical damage to the screen or keyboard and exposes the hardware to environmental hazards in public spaces.

However, for many developers, the risk of hardware damage is outweighed by the efficiency gains of autonomous agents. The ability to initiate a complex architectural change or a comprehensive bug hunt and then physically move away from the desk—while ensuring the process remains active—represents a significant increase in productivity.
As tools like Claude Code and other agentic frameworks become more integrated into professional environments, the industry may see a further shift in how hardware is utilized, potentially leading to a greater demand for devices with more flexible power management settings or dedicated “agent modes” that prevent sleep during specific autonomous tasks.
