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How is generative AI affecting software developers? A thread 🧵

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🌐Generative AI coding tools are trained on large amounts of code across programming languages. They’re trained to process data like humans do—by recognizing patterns, making connections, and drawing inferences with limited guidance.

8:05 PM · Apr 20, 2023

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🔗Generative AI coding tools are powered by large language models (LLMs). Today’s state-of-the-art LLMs are transformers, which makes them adept at connecting tokens, big-picture thinking, and scaling. The results are coding and content suggestions that are contextually relevant.

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🌠Developers can use generative AI tools to focus more on what they want to build across code, content, and even design.

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Developers are using generative AI coding tools like GitHub Copilot to: 🏃‍♀️Get a head start on complex code translation tasks 🧑‍💻Code more efficiently ✨Tackle new problems and get creative 🔍Find answers without leaving their IDEs ✅Build better test coverage

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🤨 Intrigued? Here’s a breakdown of how these tools are built and how they’re changing software development:

github.blog

How generative AI is changing the way developers work | The GitHub Blog

Rapid advancements in generative AI coding tools like GitHub Copilot are accelerating the next wave of software development. Here’s what you need to know.

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