How to Set Up Multi-Agent AI Coding in 2026 (Step-by-Step)

Multi-agent AI coding means multiple AI agents working on your codebase simultaneously, each handling different files or tasks. It’s the difference between one developer and a team.

This guide walks you through setting it up from scratch.

What You’ll Build

By the end of this tutorial, you’ll have:

• Claude Code as the orchestrator (plans and coordinates)
• Codex CLI as the backend coder (with parallel sub-agents)
• Antigravity CLI as the frontend specialist
• Automatic quality gates (security scan, code review)
• Persistent task tracking (survives session interruption)

Prerequisites

• Node.js 20+
• Claude Code CLI installed
• Codex CLI installed (npm install -g @openai/codex)
• Antigravity CLI installed (guide)

Step 1: Install CCG Workflow

npx ccg-workflow

Follow the 4-step wizard:

1. API: Choose Anthropic official or third-party
2. Models: Antigravity (frontend) + Codex (backend) — recommended
3. MCP Tools: Select ace-tool + context7
4. Performance: Standard mode

Step 2: Verify Installation

# In Claude Code, type:
/ccg:go hello

# You should see:
# 📋 CCG Analysis
#   Task: greeting  Complexity: S  Domain: general  Risk: low
#   Strategy: direct-fix

If you see the analysis output, everything is working.

Step 3: Try a Simple Multi-Model Task

/ccg:go analyze the authentication flow in this project

For M+ complexity tasks, CCG automatically:

1. Calls both Codex and Antigravity in parallel for analysis
2. Waits for both to respond
3. Cross-validates their findings
4. Presents a unified analysis

Step 4: Try Agent Teams (Parallel Coding)

For large tasks (L+ complexity):

/ccg:go add a complete user management system with CRUD API, database models, and admin dashboard

CCG will:

1. Analyze → Plan → HARD STOP (asks your approval)
2. After approval, offer execution mode choice:
   • Agent Teams: Multiple Claude agents writing in parallel
   • External Model: Codex/Antigravity writing via codeagent-wrapper
3. Decompose into Layer 1 (independent) and Layer 2 (dependent) tasks
4. Execute in parallel, then run quality gates

Step 5: Set Up Codex-Led Mode (Optional)

For projects where you want Codex as the primary orchestrator:

npx ccg-workflow
# Menu → X. Codex Mode → Install

Then use Codex CLI directly — it reads AGENTS.md and can spawn sub-agents for parallel execution.

How It Works Under the Hood

You: /ccg:go add JWT auth

CCG Engine:
  ├─ Phase 1: Analyze intent (feature, M complexity, backend, high risk)
  ├─ Phase 2: Select strategy (guided-develop)
  ├─ Phase 3: Dual-model analysis
  │   ├─ Codex: backend architecture analysis (background)
  │   └─ Antigravity: frontend impact analysis (background)
  │   └─ Wait for both → merge findings
  ├─ Phase 4: Plan → HARD STOP → User approves
  ├─ Phase 5: Execute
  │   ├─ Option A: Agent Teams (parallel Claude builders)
  │   └─ Option B: External model (codeagent-wrapper --parallel)
  │       ├─ Layer 1: auth model + middleware (parallel)
  │       └─ Layer 2: routes + tests (after Layer 1)
  ├─ Phase 6: Ralph Loop (auto-fix Critical, pass on clean)
  └─ Phase 7: Archive task + Spec Evolution

Common Issues

Q: Codex/Antigravity not responding? Check: ~/.claude/bin/codeagent-wrapper --version should show v5.11.0+.

Q: Agent Teams not available? Set environment variable: CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1

Q: Tasks not persisting? Check: .ccg/tasks/ directory should exist with task.json files.

Next Steps

• Strategies explained → — Understand the 10 auto-selected strategies
• Hook engine → — How context injection works
• Quality gates → — Automated security and quality checks

Related Guides

• How to Use Multiple AI Models Together
• Antigravity CLI Getting Started
• Claude Code Best Practices 2026
• Agent Teams

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Tutorial tested with CCG Workflow v3.1.1, Claude Code 2.1.x, Codex CLI, Antigravity CLI 1.0.0.