aiXcoder

aiXcoder Key Features

• Multi-Agent Collaborative Architecture

  aiXcoder employs a multi-agent collaborative architecture that covers the entire process from requirement understanding to delivery. Each agent focuses on specific tasks, such as code generation, test case writing, and requirement analysis, working collaboratively to achieve autonomous closed-loop processing in complex development scenarios. This architecture improves enterprise software development efficiency and delivery quality, while also supporting flexible task complexity switching.

• Large and Small Model Collaboration

  In aiXcoder's large and small model collaboration architecture, the large model serves as the global cognition and decision-making center, handling complex tasks, while the small model focuses on high-frequency, pattern-based, and deterministic subtasks. This architecture achieves optimal efficiency across all scenarios and effectively controls computational costs, making it suitable for enterprise-level development environments.

• Full-Stack Private Deployment

  aiXcoder supports full-stack private deployment, from chips to models, and from data governance to deployment, all completed within the enterprise's internal network. This deployment method ensures data and model security, meeting the needs of enterprises for trusted AI and domestic technology stacks.

• Enterprise Hub Management Platform

  Enterprise Hub is aiXcoder's enterprise-level management platform that centrally manages all agents, models, knowledge bases, and rules. The platform supports configurable, encapsulable, and on-demand distribution of agents, while also having program analysis capabilities that allow agents to truly understand enterprise codebases, improving the stability of complex task delivery.

aiXcoder Key Advantages

• Supports full-stack private deployment, meeting enterprise needs for data security and domestic technology stacks.
• Six intelligent agents cover the entire development process, improving overall development efficiency.
• The large and small model collaboration architecture effectively controls computational costs and enhances task processing efficiency.

aiXcoder Use Cases

• Code Generation and Testing in the Financial Sector

  aiXcoder has been deployed at scale in the financial sector, with a major bank generating 8 million lines of code and automatically correcting times, with over 6, and daily active users. Developers generally find the tool significantly effective in improving coding efficiency and code quality.

• Control Algorithm Code Generation for Aerospace

  In the aerospace sector, aiXcoder serves as the first intelligent tool for generating control algorithm software, supporting automatic parsing of algorithm design documents and generating high-trust C code with reliability reinforcement. It has been used in over 20 software models, covering lunar exploration projects, generating over 200 algorithm modules.

• Code Generation and Adaptation in the Energy Sector

  aiXcoder has implemented the first domestic nuclear power-specific code large model in the energy sector, with over 15 real projects using it, generating over lines of code, with a compilation pass rate of over, and full-stack adaptation on domestic chips.

Frequently Asked Questions