Welcome to our AI-Enhanced Code Quality Assurance Analysis, where we meticulously cover every facet of your codebase, ensuring the seamless integration of AI-generated code while upholding high standards of quality, security, and compliance. With our service we are gathering insights to be able to predict code quality and create conditions to prevent errors from occurring instead of reactively correcting the errors that arise.
Our service offers ongoing monitoring through periodic health checks, incorporating relevant tools. This comprehensive approach tracks the evolution and the trend of the codebase over time, continuously monitoring the level of GenAI, regulatory compliance, and performance benchmarks. We adapt strategies to maintain a resilient and future-ready codebase.
In a time when more and more of the software development is carried out by AI tools which has an accuracy of ~40%, it is more important than ever to have a well-functioning QA and monitoring setup. Experience the confidence of deploying AI-generated code with our service, providing a solid foundation for sustainable, secure, and high-performance software.
Our service initiates by establishing a baseline from before AI integration. Using tools like CodeScene, we prioritize technical debt, measure code health, assess code complexity, and evaluate maintainability. This foundational step provides insights into potential challenges and opportunities for improvement.
Our service rigorously evaluates how well the AI-generated code integrates with the existing codebase, utilizing tools like CodeScene. We assess the impact on dependencies and system cohesion, guaranteeing a harmonious and streamlined codebase.
Quantifying the level of GenAI in the code allows us to understand the extent of AI’s influence, providing valuable insights into the level of automation and intelligent decision-making embedded in your software.
Given the rapidly changing regulatory landscape, our service dynamically monitors and ensures that the AI-generated code aligns with evolving standards. This process, supported by continuous checks and analysis, reduces legal risks and ensures compliance.
Our service conducts a detailed risk assessment, utilizing relevant tools. This involves identifying potential security vulnerabilities and scrutinizing the use of external dependencies, ensuring robust protection against threats and adherence to best practices.
We analyze the runtime efficiency, resource utilization, and scalability of the AI-generated code, providing a comprehensive understanding of its performance characteristics.