AI coding agents are fast, but they’re not instant. A typical Claude Code task takes 30 seconds to several minutes. If you’re running one agent at a time, that’s dead time — minutes per task where you’re just watching output scroll.

The fix is simple: run multiple agents in parallel.

The parallel agent workflow

Instead of one terminal running one agent, use a multi-terminal workspace to run several agents simultaneously. Here’s what that looks like in practice:

Step 1: Open a grid. In GridTerm, select a 2x3 or 3x3 layout. You now have 6 or 9 terminals visible at once.

Step 2: Launch agents. Type claude (or your agent of choice) in each terminal. Point them at different directories or different parts of the same project.

Step 3: Prompt in sequence. Give Terminal 1 a task, switch to Terminal 2, give it a task, switch to Terminal 3, and so on. Each agent works independently.

Step 4: Review in rotation. By the time you’ve prompted your last agent, the first one is probably done. Review its output, approve or correct, prompt the next task. Repeat.

This is the workflow. You’re not waiting on AI — you’re managing a team.

What agents work with this approach

Any terminal-based AI coding agent works in a multi-terminal setup:

Claude Code — Anthropic’s CLI agent. Reads your codebase, writes code, runs commands, creates commits. The most capable terminal-based agent available.
OpenAI Codex — OpenAI’s coding agent for the terminal. Strong at code generation and refactoring tasks.
Aider — Open-source AI pair programming tool. Supports multiple LLM backends. Good for focused editing tasks.
Open Code — Another open-source terminal coding assistant. Lightweight alternative for simpler tasks.

You can even mix agents. Run Claude Code on your backend while Aider handles a frontend component. Different tools for different tasks, all visible at once.

Real examples

Multi-project development

You’re maintaining three microservices. Launch Claude Code in three terminals, one per service. Ask each agent to update the shared API contract. Review all three changes together, ensure they’re compatible, commit.

Feature + tests + docs

One agent writes the feature implementation. A second writes tests. A third updates documentation. All three run simultaneously on different parts of the same codebase.

Refactoring at scale

You need to rename a pattern across 40 files. Split it into groups: one agent handles the API layer, another handles the data layer, a third handles the UI layer. What would take one agent 15 minutes takes three agents 5 minutes.

Bug investigation

One agent reproduces the bug and writes a failing test. Another traces the code path. A third checks recent commits for regressions. You triangulate the issue from three angles at once.

Tips for multi-agent workflows

Use workspaces. Save your grid layout with starting directories and auto-commands. Tomorrow, one click restores your entire multi-agent setup.

Don’t overload your machine. Each agent uses CPU and memory. A 3x3 grid with 9 Claude Code sessions might be too much for 8GB of RAM. Start with 2x2 or 2x3 and scale up based on your hardware.

Use screenshots. When one agent produces output you need to share with another — an error message, a UI screenshot, a diagram — GridTerm’s screenshot feature lets you capture and paste it in two seconds.

Stagger complex tasks. If all agents hit the API rate limit simultaneously, you’ll get throttled. Start tasks a few seconds apart.

Keep a free terminal. Don’t fill every pane with an agent. Keep one terminal free for git operations, running your dev server, or manual testing. A 3x3 grid with 6 agents and 3 utility terminals is a solid setup.

The math

If each Claude Code task takes 2 minutes on average, and you’re running one agent:

10 tasks = 20 minutes of agent time + your review time

With 5 agents in parallel:

10 tasks = ~4 minutes of agent time + your review time

That’s a 5x throughput multiplier. Over a full work day, the difference is massive.

Getting started

Install GridTerm, open a 2x2 grid, and launch Claude Code in each pane. Give each one a different task. You’ll never go back to single-terminal workflows.

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