Hey Ameen! Thanks for reading and for the great question.

The way I see it, adopting AI successfully comes down to adapting how we learn and how we approach daily work. When using AI tools regularly, your role naturally shifts — you end up reviewing far more code than you actually write.

To maintain high code quality and maintainability, teams need strong discipline: clear coding guidelines, rigorous MR reviews, and a continuous push to refine the codebase. Because AI agents rely heavily on existing code as context, maintaining a clean repository ensures the AI generates far better results.

As for continuous learning, the key is using AI as a partner rather than a shortcut, taking the time to truly understand why the generated code works before merging it.

At some point I would like to write about how I use the AI tools in my daily work.

Best regards, David