AI agent orchestration for coding teams

Short answer: agent orchestration for coding means running several AI coding agents on one codebase without chaos: each task isolated in its own branch, a human approving what matters, every result reviewed, and work handed between agents and people. Most developers still run one agent at a time. When a team runs many, the hard part isn't starting agents, it's seeing and coordinating them, which is what a shared AI agent workspace is for.

What orchestration means for coding

In general AI writing, "multi agent orchestration" often means one AI directing other AIs. For a software team the job is more practical. You need five things:

1. Parallel tasks. Several agents working at once, on different problems.
2. Isolation. Each agent in its own git worktree and branch, so they don't overwrite each other's files. See our git worktree guide.
3. Human approval. Someone decides which commands and edits an agent may make, especially when the request comes from a person who isn't the owner.
4. Review. Every agent's diff gets read before it merges, ideally with the reasoning that produced it. See how to review AI-written code.
5. Handoff. When a person stops, their agent's work and context can move to someone else instead of dying on a laptop.

Subagents, agent teams and a team of people

These three get mixed up. They are different things.

	Subagents	Claude Code agent teams	A team of people with agents
Who's involved	One developer	One developer	Several developers
Runs where	Inside one session	One session on one machine	Many machines
How work flows	Subagent returns a result to the caller	A lead session plus teammate Claude instances share a task list and message each other	Each person runs their own agents
Status	Available	Experimental, off by default	Your normal team

Subagents run inside one Claude Code session and return a result to whoever called them.

Claude Code agent teams (docs) are experimental and off by default; you turn them on with CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1. One lead session coordinates several teammate Claude instances that share a task list and message each other. The "teammates" are AI instances in one session on one machine, not your coworkers. The docs note a higher token cost and recommend 3 to 5 teammates.

A team of people, each running their own agents, is a different problem. Agent teams don't let your coworker see what your agents are doing. Nothing inside a single session can.

How developers actually run agents

Stack Overflow's May 2026 agent survey of 1,100 developers found:

• 59% use agents at work, up from 31% in 2025, and 37% use them daily, up from 14%.
• 69% use a single agent. 17% use multiple specialized agents, and 16% use multiple coordinated agents.
• 63% rarely or never let agents run on autopilot.

So most people still run one agent and watch it closely. That's sensible. It also means orchestration for most teams is less about fully automatic agent swarms and more about keeping humans in the loop across many agents. Meanwhile GitHub Octoverse 2026 reports more than 40% of September 2026 pull requests started with an agent's first draft, so the volume of agent work a team has to track keeps growing.

Coagy: a shared AI agent workspace

Coagy is an AI agent workspace for a software team. It doesn't replace your agents; it puts them in one place.

• Parallel and isolated. Every task gets its own git worktree and branch, for Claude Code, Codex, Gemini CLI or Cursor.
• Your agents, your accounts. Each developer runs agents on their own computer with their own Claude, ChatGPT, Google or API key login. A connector mirrors sessions into the workspace on macOS, Linux and Windows 10 or 11, without admin rights.
• Monitored, not autopilot. Sessions are private by default. Shared ones can be watched live. Teammates can ask an agent a question (the owner approves the answer) or steer it, and every edit or command from someone else's message asks the owner first.
• Handoff and memory. Hand a session to a teammate with its context. Shared project memory is searchable by every agent.
• Cloud when you need it. Agents can run in Coagy cloud when your laptop is closed.

It's free for up to 4 developers, and people who only watch, comment and chat are free.

If you work alone and just want more agents on one machine, Claude Code's own subagents and agent teams, or a single-player manager like Claude Squad or the free Coagy Local, may be all you need. Pick Coagy when more than one person's agents touch the same repository. More: run multiple AI coding agents in parallel and hand off an AI coding session to a teammate.

Questions

What is AI agent orchestration?

AI agent orchestration is coordinating several AI agents on related work. For coding teams it means running agents in parallel, isolating each in its own git branch or worktree, having humans approve and review their changes, and handing work between agents and people.

Are Claude Code agent teams the same as a team of developers sharing agents?

No. Claude Code agent teams is an experimental feature where one lead Claude Code session coordinates several teammate Claude instances on one machine. The teammates are AI instances, not people. Sharing agents across a team of developers needs a shared workspace such as Coagy.

What is the difference between subagents and agent teams in Claude Code?

Subagents run inside one session and return a result to the caller. Agent teams have a lead session and teammate Claude instances that share a task list and message each other. Agent teams are experimental, off by default and use more tokens.

Do most developers use multiple AI agents?

Not yet. In Stack Overflow's May 2026 agent survey, 69% of developers used a single agent, 17% used multiple specialized agents and 16% used multiple coordinated agents. 63% rarely or never let agents run on autopilot.

What is an AI agent workspace?

An AI agent workspace is a shared place where a team's agents run and are visible. Coagy is one for coding: each developer's Claude Code, Codex, Gemini CLI or Cursor sessions appear in one workspace where teammates can watch, ask and, with the owner's approval, steer them.