The video introduces Tuty VM, a shared cloud workspace that enables seamless collaboration between human developers and AI coding agents like Codex and Claude Code by providing a unified environment with shared files, tasks, and conversation threads. This platform streamlines task handoffs, preserves full context, and allows teammates to share AI agents and subscriptions, enhancing productivity and coordination without replacing existing tools.
The video explores a new approach to collaborative coding using a shared cloud workspace called Tuty VM, which allows human teammates and AI coding agents like Codex and Claude Code to work together seamlessly on the same projects. Traditionally, moving tasks between different coding agents involves manually copying prompts, adding context, and hoping the next agent understands the previous work, which becomes increasingly complicated with more people involved. Tuty VM addresses this by creating a shared environment where all participants and their agents can access the same files, tasks, and conversation threads, eliminating the need for repeated context explanations.
Tuty VM functions as a virtual machine that teams and their coding agents can share, rather than replacing existing tools like Codex or Claude Code. Users can invite teammates into dedicated rooms where everyone sees the same group chat, active agents, and project files. Agents can be brought into conversations directly from the chat, allowing for real-time collaboration between humans and AI. Importantly, access and permissions are carefully managed so that agents and data are only shared when explicitly authorized, maintaining security and privacy within the workspace.
The video demonstrates how Codex can be assigned a coding task within Tuty VM, such as changing the default view in an application. The progress and results of the task are visible to all participants in one centralized interface, avoiding the clutter and confusion of multiple terminals, emails, and windows. Following Codex’s work, Claude Code is then brought in to review the implementation using a built-in reference system that passes the full context from Codex’s session, streamlining the handoff process and preserving continuity without manual copying or re-explaining.
A key feature highlighted is the ability for teammates to share their AI agents with each other, enabling access to different subscriptions and increasing overall productivity. For example, when one user runs out of Codex usage, they can use a teammate’s shared agent to continue working without interruption. This shared access fosters a more flexible and efficient workflow, allowing team members to collaborate on tasks, review each other’s work, and make simultaneous improvements while maintaining full synchronization across human and AI participants.
Overall, the video presents Tuty VM as a promising future platform for collaborative software development, combining human teamwork with AI assistance in a unified, context-rich environment. The system does not automate decision-making but empowers users to direct agents and coordinate with teammates effectively. The presenter expresses excitement about Tuty VM’s potential and encourages viewers to try the platform, which is currently available via a waitlist, to experience this innovative approach to coding collaboration firsthand.