BMadCode + Qwen3

🚀 The Future of Coding Is Agentic

Imagine a development workflow where your AI architect designs the system, your Dev Agent writes the code, and your QA Agent tests and validates everything — all in minutes.

In 2025, this isn’t a fantasy. It’s BMadCode + Qwen3-Coder in action.

Let’s explore how to integrate Qwen3 into the BMad agentic workflow and turn code generation into a scalable, structured, multi-agent pipeline.

🧠 What Is Qwen3-Coder?

• 256K token context for project-wide awareness
• Supports 358+ programming languages
• Variants from small local models to 480B giants
• CLI, vLLM, and VSCode compatibility

🧩 What Is BMadCode?

• 🧠 Pre-code planning (Analyst / PM / Architect agents)
• 💻 Execution (Dev, QA, Doc, Deploy agents)
• 🧰 Tool integration: OpenAI, Qwen3, LangChain
• 🧠 Context + memory-aware agent coordination

⚙️ Why Qwen3 + BMadCode Is a Perfect Match

🛠 Best Practices for Qwen3 + BMadCode

1️⃣ Start with Agentic Planning

Install and begin your plan:

npx bmad-method install
bmad plan

This creates:

• docs/prd.md – Product requirements
• docs/architecture.md – System architecture
• docs/tasks.md – Task breakdown

2️⃣ Assign Qwen3 to Dev Agent

Example config:

{
  "agent": "DevAgent",
  "model": "Qwen3-Coder-72B-Instruct",
  "tools": ["file-generator", "code-review"],
  "task": "Implement user login flow",
  "memory": "architecture.md"
}
    

3️⃣ Pair with QA & Doc Agents

• ✅ QA Agent: Uses Ruff, Pytest, ESLint
• ✅ Doc Agent: Converts code to Markdown docs
• ✅ Test Agent: Auto-generates unit tests

4️⃣ Use Contextual Memory

Link your agents to:

• Architecture overview
• API requirements
• Prior generations
• Task history

5️⃣ Use Modular Execution

Run agents sequentially:

bmad execute analyst-agent
bmad execute architect-agent
bmad execute dev-agent
bmad execute qa-agent

Or as a full pipeline:

bmad execute --pipeline \"plan→build→test\"

💡 Example: Build a SaaS Auth System

• 🧠 Analyst → Extracts “user registration + login”
• 📐 Architect → Designs Node.js + Supabase stack
• 💻 Dev Agent (Qwen3) → Builds routes + DB models
• 🧪 QA Agent → Validates with tests
• 📖 Doc Agent → Outputs auth-api.md

🧠 Tips for Production Use

• Use Qwen3 locally for private repos
• Use vLLM or RunPod for scalable inference
• Version memory to avoid duplicate work
• Use LangChain router for multi-LLM setups

🔚 Final Thoughts

Qwen3 brings intelligence. BMadCode brings structure.

Together, they create a next-gen coding stack — agentic, autonomous, and powerful.

Start your agentic dev workflow today.
Build faster. Build smarter. Build with BMadCode + Qwen3.