Agent orchestration is when one AI agent coordinates other agents instead of doing the work itself. It's the difference between one developer doing everything and a tech lead delegating tasks to a team.
the problem
AI agents are great at focused tasks: implement this feature, review this PR, fix this bug. But a single agent doing everything on a large project hits limits fast. Its context window fills up. It loses track of earlier decisions. It tries to plan, implement, and review all in one conversation and the quality drops.
This is the same problem human teams solved a long time ago: you don't have one person do everything. You have people specialize, and someone coordinates.
how orchestration works
You talk to the orchestrator. "I need these three issues worked on."
It breaks the work down. One task per agent, each in its own isolated workspace.
It starts specialized agents. An implementation agent for coding, a review agent for checking, a test agent for validation.
It checks on progress. Reads what each agent is doing, answers their questions, moves work forward.
It reports to you. "Issue 1 is done and ready for review. Issue 2 needs your input on the API design. Issue 3 is still running."
why it's better than one agent
Clean context. Each agent starts fresh with only the information it needs. No leftover planning notes cluttering the implementation agent's context.
Parallel work. Three agents can work on three issues at the same time. One agent can only do one thing at a time.
Independent review. A review agent that didn't write the code catches things the author wouldn't. Same principle as human code review.
You stay in control. You talk to one orchestrator instead of managing five agents yourself. The orchestrator handles the coordination.
orchestration in pane
Pane Chat is Pane's built-in orchestrator. You talk to it in one conversation, and it uses the runpane CLI to create panes, start agents, check their output, and report results.
You can also build your own orchestrator. Anything that can run terminal commands (Codex, Claude Code, a shell script, cron) can use runpane to control the workspace. Pane doesn't lock you into one approach.
Agent orchestration is when one AI agent coordinates other agents. Instead of one agent doing everything, you have a coordinator that delegates tasks to specialized agents, checks their progress, and combines their results.
A regular agent does the work itself: writes code, runs tests, edits files. An orchestrator doesn't do the work. It decides what needs doing, assigns it to other agents, and checks that it got done. Think manager vs individual contributor.
Related but different. Orchestration is the pattern: one agent coordinating others. An agent loop is one way to implement it: the orchestrator runs in a cycle, checking for work and delegating it. You can have orchestration without a loop (one-time delegation) or a loop without orchestration (one agent looping on its own tasks).
Context limits. A single agent that plans, implements, reviews, and tests a feature will either run out of context window or lose track of earlier decisions. Splitting the work across agents gives each one a clean context focused on one job.
Pane Chat is an orchestrator that lives inside Pane. You tell it what you want, it discusses the approach with you, then creates panes, starts implementation agents, opens review tabs, and reports results. It uses the runpane CLI to control the workspace.
If you're running one agent on one task, probably not. Orchestration becomes valuable when you have multiple tasks, need reviews from separate agents, or want to automate the create-implement-review-merge cycle.
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