Concept·Agents & Automation·Added 1 month ago

Parallel agents

Also known as: parallel agentic coding, concurrent agents, multi-threaded agents, fleet of agents

Running multiple AI coding agents simultaneously on separate tasks or branches of the same project. Each agent works in its own isolated environment, and you review outputs when they finish, rather than supervising one agent at a time.

The bottleneck in agentic coding used to be that you could only run one agent at a time, watching it work. Parallel agents removed that constraint. You assign five bug fixes to five agents running in parallel, each on its own git branch (a separate isolated copy of the codebase), and review the resulting pull requests when they land.

The workflow shift is significant. Instead of supervising AI execution, you do work at the front end (writing clear task descriptions) and the back end (reviewing diffs and merging). The middle, the actual code writing, runs in the background. Builders who adopt this pattern report compressing a sprint's worth of small tasks into an afternoon, with the quality constraint being how well they can write specs and do code review.

Cursor 3 shipped an Agents Window in April 2026 that lets you run fleets of agents in parallel across local machines, worktrees, SSH, and cloud environments. Claude Code, Codex, and GitHub Copilot all shipped parallel or background agent support within the same two-week window in early 2026. Running multiple agents simultaneously is now considered table stakes rather than a premium feature.

This definition is AI-generated and refreshed weekly. It may contain inaccuracies. Use your own judgment, especially for production decisions.

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