Optimizations to ensure that generated code is ready for deployment
DeepCode guarantees code quality through the following mechanisms:
- Multi-level verification system::
- Static analysis of intelligences: checking code style and potential vulnerabilities
- Test Generation Intelligence: Automating the Creation of Unit and Integration Tests
- Performance Evaluation Intelligence: Analyzing Time Complexity and Memory Usage
- Industry Specification Adaptation::
- Automatically adding TypeScript type definitions
- Follow RESTful API design specifications
- Integration of common security protections (SQL injection/XSS defense)
Implementation of recommendations::
- Enable strict mode in the configuration file (strict_mode: true)
- Specify technology stack version constraints (e.g. Python ≥ 3.9)
- Run the built-in security scan after generation (deepcode audit)
- Manual review of key business logic
Empirical measurements show that the production availability of the generated code after the above processing reaches 92%, and the main problem focuses on the realization of specific business rules.
This answer comes from the articleDeepCode: an intelligent body system that automatically generates papers and text into codeThe
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