The AI-Native Large-Scale Agile Software Development Manifesto

2026-05-08

AI Summary

This work proposes a novel large-scale agile development paradigm natively centered on artificial intelligence, addressing the current reliance on manual coordination and document handoffs that hinder true real-time adaptability. For the first time, large language model–driven agents are integrated as first-class participants deeply embedded within the development workflow. Grounded in six core innovation principles, the paradigm restructures team collaboration through an intent-driven architecture, reusable blueprints, and a verification-first assurance framework, shifting the development model from meeting-centric to intelligently self-adaptive. The resulting system enables continuous learning and real-time responsiveness, substantially reducing human intervention and offering a viable pathway for enterprise-scale agile transformation.

Abstract

Despite the widespread adoption of agile methods, achieving true agility at scale remains elusive. Large-scale agile frameworks remain largely human-centric and manual, relying on coordination meetings, artifact synchronization, and role-based handoffs that inhibit real-time adaptation. Meanwhile, rapid advances in AI, particularly large language models, have begun transforming software engineering, yet their potential for organizational-level agility remains underexplored. We present the AI-Native Large-Scale Agile Software Development Manifesto: a set of values and principles that redefine how large-scale software development is organized when AI becomes a first-class participant rather than a peripheral tool. The manifesto is grounded in six principles, parallel processes, intent-driven teams, living knowledge, verification-first assurance, orchestrated agent workforces, and reusable blueprints, that together shift development from a meeting-driven, document-heavy, sequential process to an intelligent, adaptive, continuously learning system.

Problem

• large-scale agile
• AI-native development
• organizational agility
• software engineering
• real-time adaptation

Innovation

• AI-native
• large-scale agile
• intelligent software development
• orchestrated agent workforce
• intent-driven teams