Keeping AI coding work resumable: projects, sessions and handoffs in Termexo

Description and use

Termexo simplifies AI coding by organizing projects, terminals, and context, exposing waiting states, enabling structured handoffs, and providing remote desktop access.

Problem

AI coding tasks often stop due to failures, approvals, or project switches, making it hard to resume work and track terminal states.

Outcome

Termexo streamlines AI coding workflows by grouping projects, managing terminal contexts, exposing waiting states, enabling structured handoffs, and providing remote desktop access, reducing context loss and improving collaboration.

Workflow

• 1. Create a workspace for each repository in Termexo.
• 2. Assign every terminal a project and a job, writing acceptance conditions before starting tasks.
• 3. Use the task board to link tasks to goals and acceptance criteria.
• 4. When multiple agents run concurrently, define file ownership and task dependencies; use branches or worktrees if needed.
• 5. Monitor status indicators and notifications to identify waiting tasks without opening every terminal.
• 6. When handing off work, prepare a review handoff with Goal, Progress, Verification, and Next step sections.
• 7. Use Termexo’s handoff packages to transfer background information to the next session or person.
• 8. Enable browser access to the running desktop for remote or mobile interruption handling, ensuring the host stays on and credentials are secured.
• 9. Review and test completed tasks, then close or archive the terminal session.
• 10. Repeat the cycle for new tasks or projects.

Evidence

Termexo groups project directories, terminal layouts and related settings into workspaces.

Source

Native session search and recovery help reopen supported agent sessions.

Source