I Run 4 Coding Agents at Once: My Full Orchestration Setup
I Run 4 Coding Agents at Once: My Full Orchestration Setup Watch the video version here: I Run 4 Coding Agents at Once: My Full Orchestration Setup (8 minutes, 9 seconds). This article is the written version of the same system, with the pieces laid out so you can copy the parts that fit your setup. The problem is management, not models Leave one AI coding agent alone for an hour and you get a…
Four coding agents can work simultaneously, but managing them is crucial. The author runs Claude Code, Codex, Antigravity, and Hermes at once, all under strict supervision. They avoid chaotic interns by breaking down goals into tasks assigned to specific workers, each with a single task to prevent overwriting or duplication. The orchestrator reviews the work, ensuring quality and preventing errors from spreading.
Roles are more important than models. Each worker has a specific role, such as refactoring, testing, or building features. Tools can change based on pricing and performance, but roles remain consistent. This structured approach prevents confusion and ensures tasks are completed correctly.
Tasks are presented as self-contained packets with five parts: goal, context, steps, output format, and verification. This prevents agents from wandering off track or misunderstanding the task. Verification is essential before trusting any output, with tests, diffs, and a separate reviewer model to catch mistakes.
The cost is managed by routing work to models based on the required judgment, not just workload. Fast, cheap models handle pattern-based tasks, while premium models are reserved for complex decisions and debugging. A written project brief, CLAUDE.md, is read by each agent at the start of every session, setting clear rules and boundaries for the project. This system ensures agents work efficiently and accurately, transforming a chaotic setup into a well-orchestrated team.
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