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AWS Certified AI Practitioner · AWS
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Code recommendation tools (AI coding assistants) directly improve developer productivity by suggesting code completions, boilerplate, functions, and implementations while developers work. This integrates naturally into IDEs and development workflows and is one of the most common AI productivity use cases in software engineering. Why not D: NLP tools alone do not necessarily generate usable production code; the more practical and established solution is AI-powered code recommendation integrated into developer tools.
well question asks explicitely for AI: "use AI to increase". Recommendations is not. And "AI coding assistant" again imo is NLP(analysing the code and maybe generate completions based on the code ...)
NLP let developers write code from natural language prompts which increases software development.