Skip to content
30 min read90 min build
Prerequisites:ch01-minimal-coding-loopch02-tool-registrych03-planner-task-graphch04-memory-contextch05-safe-file-editingch06-approvals-sandboxingch07-worktree-isolationch08-execution-lanesch09-supervisor-workerch10-schedulingch11-review-queuech12-handoffch13-skillsch14-automations
What You Will Build

A fully assembled multi-agent coding system that composes all 14 prior components into a working orchestration platform

Why This Matters

You have built fourteen components. A coding loop. A tool registry. A planner. Memory. Safe file editing. Approvals. Worktree isolation. Execution lanes. A supervisor-worker pattern. A scheduler. A review queue. Handoff. Skills. Automations.

Each works in isolation. Each was tested independently. But a multi-agent coding system is not a collection of parts — it is the composition of those parts. The value comes from how they connect: the supervisor uses the scheduler, which dispatches workers into execution lanes, which operate in isolated worktrees, which produce patches that flow through the review queue, which triggers handoffs when context runs out, all enriched by dynamically loaded skills and triggered by automated events.

This chapter wires everything together. You will not write much new code — instead, you will connect existing interfaces, resolve the integration points where components meet, and handle the emergent complexity that only appears when the full system runs.

This is the capstone. After this chapter, you have a working system.

What You Will Build

The complete OrchestCode system. Every component from Chapters 1-14 connected into a single orchestration platform.

Story Mode for this chapter is coming soon

We are crafting a fun, code-free explanation with metaphors and interactive mini-games. In the meantime, switch to Builder Mode to start learning.

What's Next

You have a working multi-agent coding system. Every component is wired together, the request flows from user input through decomposition, scheduling, execution, review, and back. The system handles failures, degrades gracefully, and can resume from checkpoints.

But can you see what it is doing? When something goes wrong at 3 AM, can you figure out why? When performance degrades over weeks, can you spot the trend?

In Chapter 16, you will add the final layer: observability. Structured logging, metrics, alerts, and a comprehensive failure handling strategy that covers every failure mode the system can encounter. This is the difference between a system that works and a system you can operate.