AI agent orchestration for coding workflows
Understand task routing, dependencies, shared state, and the choices between agent frameworks and existing coding tools.
AI agent orchestration, on this page, is deciding which coding agent does a task, what must be true before it starts, how the request is tracked, and what happens when it finishes or blocks. Those decisions stay necessary in a terminal, a desktop workspace, or a framework.
Example. You want a notification handler changed and reviewed before anyone merges it. One agent implements the handler in its own checkout. A second agent reviews that diff and returns findings or an explicit no-findings. You read the result against the acceptance check and accept or reject it. No agent framework is required for that sequence. A framework is a fit when you are building agents inside an application you own and you need that runtime to checkpoint, pause, and resume.
The word collides with a model pattern. In Anthropic's engineering note↗, a workflow is a path fixed in code, and an agent is a model directing its own tools. Here, orchestration means the decisions around coding agents you already run.
Limit. MCP↗ connects an application to tools and data. A2A↗ connects opaque agents through tasks and messages and does not decide who merges. ACP↗ connects an editor to a coding agent. None of them chooses the owner or the definition of done. OpenScout is a local broker for high-trust pilots. It records the ask and the result. It does not pick a cheaper model for you, and it does not merge.
Start with the work you need to coordinate
There are several useful starting points:
| Your situation | What to evaluate |
|---|---|
| You are building a custom application with agents inside it | The smallest runtime that can checkpoint state, pause for a person, and resume without repeating work. A framework is optional when a direct implementation is clear enough to debug. |
| You already use coding agents and want them to exchange work | A coordination layer that supports those tools and preserves task identity and results |
| You want several independent changes at once | Workspace isolation, ownership, resource conflicts, and integration controls |
| You want a recurring maintenance task | Scheduling, execution permissions, missed-run behavior, and review of the output |
These needs can overlap. Identify the required behavior before choosing a product category.
Four decisions every workflow needs
1. Routing
Specify the project and the capability needed. A code reviewer needs a defined diff and review criteria; an implementer needs scope and acceptance criteria. When a particular harness or model matters, select it explicitly and verify what actually ran. If the next harness is already determined by the task, select it directly. Leave a model to choose the route only when the route is not already a rule.
2. Dependencies
Make prerequisites visible. A UI task may depend on an API contract; deployment depends on accepted changes and the required checks. Start independent tasks concurrently, and keep dependent tasks behind an explicit decision.
3. State and results
Keep a durable record of the request, its owner, progress, and outcome. A message saying work was received is different from a completed result. Preserve the original task reference when asking for progress or clarification.
4. Recovery and human decisions
A task can wait on credentials, permission, an unavailable runtime, or a requirement that needs clarification. Define who receives that request and how the work resumes. Retrying by launching another agent can duplicate changes or external actions, so inspect the existing task first.
Where OpenScout fits
OpenScout provides a local broker and control plane for coding tools you already use. Agents can be discovered and addressed, requests can be tracked, and follow-ups can return to the same conversation. You supply the workflow policy: task boundaries, sequencing, acceptance criteria, and integration ownership.
A small starting example is a Claude Code implementation followed by a Codex review, or the reverse. The review walkthrough shows how to request work and read its result. The multi-agent coding guide explains how to expand that pattern to concurrent tasks.
How protocols relate to orchestration
MCP connects an application to tools and data. A2A connects opaque agents through tasks and messages, and it does not decide who merges a change. ACP connects an editor to a coding agent. Those interfaces do not choose an owner, an order, or a definition of done. Read the A2A, MCP, and ACP comparison to choose the connections appropriate to your tools.
Evaluate the workflow with one real task
If one coding session can carry the change, start there. Add coordination when the work splits or when a result has to outlive the session. Before expanding, confirm that you can identify the requested agent, observe whether it is running or blocked, retrieve its result, and continue the same request. Then check whether the completed work meets its acceptance criteria.
Track the time spent supervising and reviewing as well as the time spent generating code. Useful automation reduces the effort required to reach an accepted outcome.
OpenScout currently targets high-trust local developer pilots. Agent providers and remote integrations can receive the data needed for their tasks. See data ownership, then start with Claude Code setup or Codex setup.
For the message and task lifecycle underneath a workflow, see agent-to-agent communication.
Interactive learning
Can two agents safely ship one feature?
One agent adds POST /notifications. Another builds the list. A third writes the docs. The API agent will stop once and ask whether title is required.
Change one choice, then read the stage in front of you. The same choices always produce the same result. This example does not run Git, a model, or a server.
Blocked
Three tasks, no shared shape
The UI agent will treat the payload as an array. The docs agent will describe { items: [] }. The API agent will return { id, title }.
No writer starts. The open question is whether title is required.
Try this: agree on the contract, turn on separate worktrees, and leave the port shared. Implementation shows a suite that passes against the other agent's server. Then open Accept while the blocked task is still unanswered.