← Use cases · Coding
AI agents for running several coding tasks in parallel
Short answer: Use a terminal agent that isolates each task in its own Git worktree, and keep one strong model for planning. Codex CLI ships managed worktrees; OpenCode and Claude Code are the main terminal alternatives.
Tools for this job
| # | Tool | Why for this job | AgentPick Score | Link |
|---|---|---|---|---|
| #1 |  OpenCode | Open-source terminal agent, bring your own model | 99/100 | Official source ↗ |
| #2 |  Claude Code | Anthropic's terminal agent, customizable with mods | 96/100 | Official source ↗ |
| #3 |  OpenAI Codex CLI | Managed Git worktrees and task pinning (0.162) | 93/100 | Official source ↗ |
Ordered by AgentPick Score. Links may become affiliate links; they never change order. Disclosure.
How to do it
- Write the plan once with your strongest model.
- Split it into independent tasks, one branch each.
- Run one agent per worktree so tasks can't trample each other.
- Review each branch as a normal pull request.
Starter prompt
Here is the plan: [plan]. Work only on task [N] in this worktree. Don't touch files outside [paths]. When done, run the tests and summarize the diff in 5 bullets.
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