Architecture and working mechanism of Codiris multi-intelligence system
Codiris' multi-intelligence system is the platform's core technological innovation, which automates the entire process of product development by building a collaborative network of highly specialized AI intelligences. The system consists of four main categories of intelligences: research and design, engineering and development, quality assurance, and deployment and operation and maintenance, each of which focuses on a specific aspect of the development process while being able to collaborate efficiently with other intelligences.
In the user research phase, the market research intelligence can automatically analyze industry trends and competitors; in the product design phase, the UI design assistance intelligence can generate wireframes and prototypes according to the demand; in the coding phase, the front-end, back-end, and the chief engineer intelligences collaborate to generate production-grade code; and in the deployment phase, there are specialized pre-deployment, security, and monitoring intelligences to ensure that the system is smoothly online. The biggest difference between this specialized division of labor and traditional AI platforms is:
- Deep domain expertise: each intelligence is customized and trained for a specific development session
- Closed-loop workflow: automated delivery interfaces established between upstream and downstream intelligences
- Real-time collaboration mechanism: synchronization of work status through the platform's built-in communication system
This enables Codiris to achieve true "one-click" product development, dramatically reducing the administrative costs of team coordination.
This answer comes from the articleCodiris: An AI Intelligent Body Development Environment for Building ProductsThe
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