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GENERATIVE AI – RECHARGING DEVELOPER PRODUCTIVITY

GENERATIVE AI – RECHARGING DEVELOPER PRODUCTIVITY

Infosys’ Generative AI: Recharging Developer Productivity explores how AI tools like GitHub Copilot are reshaping software development by accelerating coding, testing, and documentation while improving quality. Using the SPACE framework to measure productivity, Infosys found that GenAI can cut developer effort by 25–30% on new projects and 15–20% on existing ones. Yet effectiveness depends on context, training, and governance. Infosys emphasizes domain-specific “narrow transformers”—custom LLMs such as NT-Java-1.1B—for higher accuracy and enterprise alignment. The report stresses that human judgment, data privacy, and continuous upskilling remain essential to safely scale GenAI, making developers orchestrators of intelligent, secure, and efficient workflows.

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