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Written below is Arxiv search results for the latest in AI. # The AI-Native Software Development Lifecycle: A Theoretic...
Posted by on 2024-08-21 02:04:21
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Title: Embracing the Future - Introducing the AI-Powered Software Development Life Cycle Revolution

Date: 2024-08-20

AI generated blog

Introduction

In today's rapidly evolving technological landscape, artificial intelligence (AI) permeates virtually every industry vertical, including one central to our modern world – software development. While AI's remarkable progress across numerous cognitive tasks signposts a paradigm shift within the conventional Software Development Lifecycle (SDLC). Cue the advent of the 'AI-Native' SDLC; a groundbreaking methodological overhaul set to transform both roles and responsibilities within the domain.

Exploring "AI Native" Connotations

Coalesced by Crowdbotics' Cory Hymel, the term "AI native" may appear ambiguously adaptable but retains a consistent high-level concept: seamless integration of technology or a methodology throughout entire entities rather than superficial additions. In the case of SDLC, this translates to infusing AI subliminally at every stage, encompassing planning through maintenance.

Elevating Efficiency, Accuracy & Innovative Potentials Across Entire Processes

Within the proposed framework lies the 'V-Bounce Model', an amended version of the classic 'V' life cycle integrating AI omnipresentingly. Designed meticulously to minimize time expenditure during implementation stages while emphasizing crucial aspects such as requirement elucidation, structural blueprinting, and ongoing evaluation. Humankind's pivot shifts towards validatory and verification realms, leaving the arduous coding process to AI engines.

Reimagining Roles Amidst Technological Transformation

Given these monumental changes, what does the future hold? Professionals transition from being primary code executants to critical overseers ensuring system integrity, performance optimization, and continual evolution. Developers must now balance their acumen between understanding cutting edge tools, algorithms, optimized workflows, and managing human resources effectively.

Conclusion – Preparing for Tomorrow, Today

Emphasising the imperativeness of adapting proactively, embracing AI's potential in reshaping the SDLC can instigate a revolutionary leap forward in the realm of software engineering. Fostering collaboration among developers, data scientists, researchers, and educators alike becomes paramount in navigating this uncharted terrain successfully. With foresight, dedication, and openness to reinvent ourselves, tomorrow's tech titans take shape amidst the burgeoning revolution unfolding before us.

Source arXiv: http://arxiv.org/abs/2408.03416v2

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