# The AI-Native Large-Scale Agile Software Development Manifesto

arXiv: https://arxiv.org/abs/2605.07717 · HTML: https://mlsanity.com/paper/2605.07717/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- Builds on 0 of its 9 references that are in the map.
- First posted on arXiv 8 May 2026.

## Built on by (most cited first, 2 of 2)

- [Using Agentic AI for contextualized and multifaceted code review at Ericsson](https://mlsanity.com/paper/2609.15877/) (2026)
- [AI-Native Product Management: A Vision](https://mlsanity.com/paper/2610.14823/) (2026)

## Abstract (arXiv)

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.