AI generates code; expertise designs lasting solutions
Original author: Mouna Cherif — edited by AXELITES team
AI can code. But who thinks through the architecture?
Artificial intelligence can now quickly generate code, interfaces and features, even producing an initial version of an application in just a few days.
But there can be a significant gap between a working prototype and a production-ready solution.
Development carried out too quickly, without architectural thinking or technical expertise, can result in an architecture that is difficult to evolve, code that is complex to maintain, a lack of automated tests, poorly controlled dependencies, security risks or performance problems as load increases.
The real value therefore lies not only in the ability to generate code, but in designing a reliable, scalable and lasting solution.
AI is a tremendous accelerator for development teams. However, it must be part of a comprehensive approach encompassing architecture, Clean Code, Design Patterns, automated testing, security, performance, scalability and DevOps practices.
The challenge is therefore to move beyond simply generating code to designing solutions that are genuinely usable and capable of evolving with the company's needs.
