Learning from cloud transformation as we move to AI

Learning from cloud transformation as we move to AI is crucial for developers and organizations alike. As AI tools like Google Gemini and Github Copilot accelerate development, teams must consider the lessons learned from cloud transformation, such as adopting purpose-built tools that fit seamlessly into agile workflows, fostering shared ownership through training programs and centers of excellence, creating integrated processes that minimize context shifts, and adapting to the speed of AI by using secure companion tools. Similar to cloud migration, organizations must take intentional steps to adapt to these changes smoothly and securely, ensuring velocity in development without compromising security or quality.

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