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Expanding AI Training for Software Development
AI can be trained not only to be proficient in code, but also in tasks related to coding such as the editor, debugger, and other aspects of the software development lifecycle. This could potentially lead to a 30 to 50% increase in productivity for coding. However, AI has not yet tapped into areas like debugging, deployment, translating specs into code, and other activities surrounding active coding, meaning there is still untapped potential for AI to impact every part of the software development lifecycle.