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You can orchestrate parallel AI coding tasks without conflicts by assigning each task to an isolated Git worktree and a separate tmux session. This setup ensures independent features or bug fixes develop concurrently without overwriting each other's changes.

Concurrent AI agent development sessions are managed by attaching each agent to a dedicated tmux session within its own Git worktree. This isolates the task lifecycles, allowing you to run, monitor, and merge multiple independent coding cycles simultaneously.

To start an automated coding task, use the Agency CLI to create a new task with a specific slug. The CLI handles worktree creation, sets up the tmux session, and initiates the isolated parallel task lifecycle automatically.

Yes, tmux is required to manage the isolated sessions for parallel AI coding tasks. It provides the terminal multiplexing needed to run and monitor multiple independent worktree environments concurrently on the same machine.

Git worktrees are ideal when you need to implement a new feature, fix a bug, and add tests simultaneously. They provide isolated directories for each task, preventing branch checkout conflicts and streamlining the parallel execution and merging process.

Yes, automated AI coding tasks can be merged back into the main branch. The Agency CLI manages the entire task lifecycle, allowing you to seamlessly integrate the changes from the isolated Git worktrees once the parallel development cycles are complete.