SafeCoder is an enterprise-oriented code generation solution. It is based on large-scale open-source language models and can be fine-tuned for internal codebases of enterprises to generate code suggestions suitable for enterprise business scenarios, significantly improving development efficiency. The solution places great emphasis on security and compliance, with all code training and inference being done within the customer's infrastructure to ensure that code and models are not leaked to any third parties. Key features include training based on open-source models and datasets with no vendor lock-in, support for multiple hardware deployments optimized for enterprise IT infrastructure, and compatibility with mainstream IDEs, providing developers with real-time code suggestions.
Target Audience:
["Suitable for enterprises needing to protect intellectual property", "Enterprises looking to build internal custom code assistants", "Enterprises needing to enhance software development efficiency"]
Example Use Cases:
- Financial enterprises use SafeCoder to fine-tune internal codebases and build customized code assistants that recognize enterprise business terms.
- Pharmaceutical companies use SafeCoder to generate code suggestions compliant with industry standards, improving collaboration efficiency within research and development teams.
- Automobile manufacturers implement unified coding standards based on SafeCoder, reducing maintenance costs.
Tool Features:
- Built on the open-source BigCode model series
- Support for deployment within customer private infrastructure
- Fine-tuning of internal enterprise codebases
- Generation of code suggestions suitable for enterprise business
- Enhancement of enterprise software development efficiency
- Strong emphasis on security and compliance, protecting intellectual property
Tool Tags: Development, Security Compliance
