This content originally appeared on DEV Community and was authored by ANKUSH DHAR
Artificial Intelligence (AI) is a revolution which is changing how we design, test, and deliver software completely. Instead of just assisting in just code generation, AI is now a central driver in requirements analysis, planning, task decomposition, and even real-time collaboration with developers. This evolution of AI marks the beginning of an AI-driven era-one where intelligent systems do not just support humans but they orchestrate the whole software development life cycle.
This shift makes it essential that Agile itself needs an upgrade. Traditional frameworks like Scrum or XP were built for human-driven iteration cycles. Simply Adding AI onto current processes could hurt Agile's core strengths. Instead, software development life cycles (SDLCs) need a complete re-imagination in which AI will become a central driver in planning, execution, and feedback mechanisms.
This content originally appeared on DEV Community and was authored by ANKUSH DHAR
ANKUSH DHAR | Sciencx (2025-10-19T23:08:31+00:00) Being Agile in AI-Native Software Development. Retrieved from https://www.scien.cx/2025/10/19/being-agile-in-ai-native-software-development/
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