# How 9 AI Agents Collaborate to Code, Test, and Deploy Automatically

> Source: <https://dev.to/johtandou/how-9-ai-agents-collaborate-to-code-test-and-deploy-automatically-2dga>
> Published: 2026-06-24 18:02:18+00:00

Modern software development is fractal. Every feature touches 5-10 contexts

simultaneously. A single LLM struggles to maintain multi-domain coherence.

This is the problem Agent Swarm solves.

Unlike single-agent tools, Swarm is a pipeline where 9 specialized AI agents

collaborate automatically, each with a precise role and strict constraints:

Orchestrator, Search, Planner, Contract, Front, Back, Tester, Reviewer, Writer.

The Orchestrator uses mandatory pre-search: extracts technical terms, runs

parallel grep on the codebase, and counts distinct files touched. No LLM

guessing its own difficulty. Routes: DIRECT → SIMPLE → ADAPT → MEDIUM → FULL.

"Add a Recent Updates section to the homepage" → 8 files touched → MEDIUM.

Planner designs 5-step plan. Front+Back implement in parallel. Tester ensures

80% coverage. Reviewer audits (security >=1.0, quality >=0.85). Merge automatic.

git clone [https://github.com/JohTandou/agent-swarm.git](https://github.com/JohTandou/agent-swarm.git)

cp -r agent-swarm/.opencode/* ~/.opencode/

cp agent-swarm/opencode.json ~/.config/opencode/opencode.json