If you work in software development, or indeed within any sector of the technology industry, you will have undoubtedly been part of discussions about, read headlines on, or even trialed a platform for generative artificial intelligence (AI). Put simply, this new and quickly evolving technology is everywhere.
Yet along with the exciting promise of greater productivity with AI code generation tools — GitHub argues the increase in developer productivity due to AI could boost global GDP by over $1.5 trillion — there is also increased risk. These risks include concerns around code quality, as AI models can produce complex code that is both difficult to understand and explain.
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