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As the number of AI coding assistants proliferates, it can be hard to assess which would best serve the needs of your team and organization. Here’s where to start.
One of the earliest and most impactful use cases for generative AI has been the coding assistant. These software tools leverage large language models (LLMs) trained on billions of lines of code to assist developers with various common coding tasks. They aim to enhance developer’s efficiency and productivity by autocompleting lines of code, providing intelligent suggestions, translating code from one language to another, and providing other helpful pointers.
Like it or not, this means AI is already part of modern software development practices. Docker’s
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