ChatDev 2.0 (DevAll) is a free, zero-code platform that allows you to create and run teams of AI agents for a wide range of tasks – including software development, data charts, 3D modeling, game production, in-depth research, and more. Simple drag-and-drop process operation without any programming foundation. Python/uv and Node.js installations can be launched in the web console or Python SDK for quick results. It saves a lot of labor time, reduces costs, and makes it easy to complete complex projects quickly and easily, even without a technical background.
Recently, I have seen many people describe ChatDev 2.0 (DevAll) as:
Free zero-code platform, drag and drop to create AI teams for software development, 3D modeling, game production, in-depth research……
Sounds fierce.
But the question is – is it really so “productized”?
Let’s dismantle it rationally.
What does ChatDev essence do?
- Project: ChatDev
- Organization: OpenBMB
The original core idea of ChatDev is actually clear:
Simulate a software company with multiple AI roles to automate the development process from requirements to code.
It is not “a big model”, but:
- CEO
- Product Manager
- Architect
- programmer
- Test engineer
Each role is played by an LLM, advancing the project through structured dialogue.
The essence is one:
A software development framework for multi-agent collaboration
What is the difference between it and ordinary AI programming tools?
Common Copilot-like tools:
- People-led
- AI-assisted
- Fragment generation
ChatDev：
- AI-led
- Multi-role division of labor
- Proceed according to the software engineering process
- Output the complete project structure
It’s more like:
Software company simulator that runs automatically
Is the statement “zero-code drag platform” accurate?
Conclusion: There is an element of exaggeration.
Currently, ChatDev still requires:
- Python environment
- Install dependencies
- Configure the Model API
- Understand the agent structure
- Debug the operation process
It is not a full-fledged commercial SaaS platform.
It’s not a true visual orchestration system like Dify.
Is “no technical background required” true?
Let’s be realistic:
If you won’t:
- Python
- API Key configuration
- Environment deployment
It’s hard for you to really run.
So it is better for:
- Researchers
- developer
- Agent architecture enthusiasts
Instead of completely zero-base users.
Can ChatDev be used directly?
It is not a product
It is a research-based framework.
What it explores is cutting-edge
- Agent division of labor
- Conversation-driven process control
- Automated software engineering
- AI organizational simulation
This is very representative in the multi-agent field.
Rational summary
ChatDev 2.0 (DevAll) is indeed moving in the direction of platformization.
But its current more accurate positioning is:
Software for multi-agent collaboration automatically generates frameworks
Instead of:
Beginners can also drag and drop the AI company system that generates the game at will
Github：https://github.com/OpenBMB/ChatDev
Tubing: