Most AI tools today focus on making a single assistant smarter.
But in real-world development, we don’t work alone — we work in teams.
That’s exactly the idea behind iforgeAI:
Turning AI from a “tool” into a collaborative team of agents
What’s new in v1.3.0?
This release focuses on improving how agents collaborate and expanding the system’s flexibility.
Better support for Agent + Skill architecture
iforgeAI is now better aligned with systems like Trae, where:
Agents define roles
Skills define capabilities
This makes workflows more modular and extensible.
Expanded AI Roles (10 → 13)
We’ve added more built-in roles to simulate a more realistic dev team.
Instead of a single AI doing everything, you now get:
- clearer responsibilities
- better task decomposition
- more structured outputs
VS Code Github Copilot Chat Agents
Trae Chat Agents
Why “AI Team” instead of “AI Assistant”?
Prompting a single AI repeatedly often leads to:
- context loss
- messy instructions
- inconsistent outputs
iforgeAI explores a different model:
Define roles → assign tasks → orchestrate collaboration
Think of it like:
- PM defines requirements
- UI Designer creates wireframes
- Engineers implement
All powered by AI agents.
VS Code Project Initialization
Trae Project Initialization
Use Cases
- AI-assisted project scaffolding
- UI → code workflows
- Multi-role collaboration simulations
- Structured development pipelines
Agent Coordicatior
Explore the Project
Github: https://github.com/nelson820125/iforgeai
Gitee: https://gitee.com/jordium/iforgeai
Let’s Discuss
I’m especially interested in feedback around:
- Is multi-agent workflow actually useful in practice?
- How do you manage complexity in AI orchestration?
- What would make this usable in real production teams?
If you're exploring the future of AI in development,
this might be an interesting direction to try.
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