The trade-off between the power of native language development and the cost-effectiveness of cross-platform development is one of the significant development dilemmas of the last decade.
With a multi-platform tool like Kotlin, we can reconcile the pros of both approaches while recovering the time and resources needed to refine the final product.
KMP reduces time spent writing and maintaining the same code for different platforms while retaining the flexibility and benefits of native programming.
The digital transformation of a business requires flexible, scalable, reliable, and cost-effective IT architectures. That’s why more and more companies are deciding to make strategic use of multi-cloud.
Understanding the services offered by different providers is not the only requirement for building multi-cloud infrastructures. It is also necessary to know how to design application architectures capable of making the interoperability of these services transparent.
For this reason, the infrastructure itself must be considered as software that can automate the provisioning and management processes.
Model-Driven + GraphQL
Technologies and languages change, but problems do not.
Our approach starts from the study of the application domain. Thanks to this, today, we can shorten to the minimum the analysis-design-development-test-feedback cycle.
We focus on the model to speak the same language as the customer and thus address the challenges that constitute the strategic value of a system.
And with automated code generation, we can reduce costs and release times while building systems ready for technological evolution.