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THE IMPACT OF AI IN SOFTWARE DEVELOPMENT LIFE CYCLE (SDLC)

THE IMPACT OF AI IN SOFTWARE DEVELOPMENT LIFE CYCLE (SDLC)

THE IMPACT OF AI IN SOFTWARE DEVELOPMENT LIFE CYCLE (SDLC)

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5 Pages

Infosys BPM explains how AI can improve every phase of the software development lifecycle, from requirements gathering and design through coding, testing, deployment and post-launch support. Generative AI can draft business and technical documents, create architecture diagrams, generate and debug code, automate test cases, prepare deployment communications and triage support tickets. Infosys estimates AI can reduce developer effort by 20–30% and deliver meaningful productivity gains across other SDLC roles. However, realizing these benefits requires strong data foundations, security and new skills—particularly prompt engineering—so teams can communicate requirements and constraints effectively to AI systems.

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