Legacy code is the backbone of many software systems, containing years of built-up knowledge and functionality.
In this scenario, AI has emerged as a key player in software migrations and keeping systems up-to-date. However, many companies are hesitant to undertake migrations due to concerns about high costs, data privacy, and the risk of failures during updates.
Striking a balance between technical evolution and tangible business impact is crucial. This is why our proposal is that the future of migrating legacy code goes beyond just rewriting systems; it's about utilizing advanced AI to manage and enhance the complex landscape of software development.
Combining AI with human expertise: K.Convert
This latest Keyrus solution aims to empower enterprises to not only migrate their applications efficiently but also gain a competitive edge by fostering agility.
K.Convert automates, standardizes, and enhances the software migration process. It leverages a multi-agent and multi-model AI system, integrating human expertise to ensure the highest level of accuracy and reliability. By combining AI-driven mechanisms with human oversight, K.Convert strikes an optimal balance between automation and expert review.
What Sets K.Convert Apart?
Multi-Agent and Multi-Model AI System: While many AI solutions rely solely on a single AI model, K.Convert leverages multiple AI systems. Each system validates and checks the others, significantly reducing the risks associated with relying on a single AI model. This approach ensures a higher level of accuracy and reliability.
Human-in-the-Loop: We integrate human expertise into the process, which ensures the highest accuracy and quality. This blend of AI and human oversight strikes an optimal balance between automation and expert review.
Mimicking Standard Migration Processes: K.Convert automates the 'AS IS' analysis and generates comprehensive documentation, closely mirroring traditional migration processes. This ensures a thorough understanding and accurate conversion of existing codebases.
Dual Conversion Process: Before conversion, K.Convert cleans the initial code to focus only on the essential core code. This step ensures that unnecessary code is not converted, resulting in a smoother and more efficient output on the target platform.
K.Convert excels in various scenarios:
Converting legacy code to modern programming languages and frameworks.
Automatically generating comprehensive documentation for existing codebases.
Identifying and removing unnecessary code for better performance and maintainability.
Conducting thorough analyses to provide valuable insights for future development and migration projects.
Conclusion
As technology advances, the need to migrate legacy code becomes increasingly important. K.Convert is not just about rewriting systems; it's about utilizing advanced AI to manage and enhance the complex landscape of software development. By combining AI with human expertise, K.Convert empowers enterprises to migrate their applications efficiently, gaining a competitive edge and fostering agility in their operations.