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AI is transforming the developer experience. Embrace the change

By giving developers the freedom to explore AI, organizations can remodel the developer role and equip their teams for the future. A lot of question marks loom over the future of AI and jobs. But for today’s developers, AI-driven development can be a solution to the reality of today: Development teams are stretched thin, challenged […]

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By giving developers the freedom to explore AI, organizations can remodel the developer role and equip their teams for the future.

A lot of question marks loom over the future of AI and jobs. But for today’s developers, AI-driven development can be a solution to the reality of today: Development teams are stretched thin, challenged by many competing tasks that leave little time to do what they love: developing software.

It’s not an exaggeration to say that every developer will eventually become an AI developer, but even today, 92% of US-based developers already use AI coding tools inside and outside of work. These AI tools are not fundamentally changing what developers do. But they offer improved efficiency—saving time on repetitive tasks, security checks, frequent code changes, writing tests, documentation, and more. Now, the question for engineering teams everywhere isn’t about what impact AI will have on engineering; it’s about how they can make the most of AI today.

How companies can embrace AI while putting people first

For all the promise of generative AI, people remain every organization’s most valuable asset. AI offers an opportunity to harness developers’ enthusiasm, while empowering them to introduce integral systems—without taking up significantly more time.

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To do that, though, it’s vital that developers have access to the right technology. Companies are well advised to hand developers the keys to AI-powered productivity and collaboration tools, provide them with access to large language models (LLMs) from different providers, and allow them to try copilot platforms that help them generate code, create data models, and test data for applications.

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