The AI-Native Large-Scale Agile Software Development Manifesto
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arXiv
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| Autori principali: | , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2026
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| _version_ | 1866913153743323136 |
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| author | Britto, Ricardo Palmgren, Fredrik Saini, Nishrith Ohlin, Marcus |
| author_facet | Britto, Ricardo Palmgren, Fredrik Saini, Nishrith Ohlin, Marcus |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2605_07717 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | The AI-Native Large-Scale Agile Software Development Manifesto Britto, Ricardo Palmgren, Fredrik Saini, Nishrith Ohlin, Marcus Software Engineering Artificial Intelligence D.2.0 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. |
| title | The AI-Native Large-Scale Agile Software Development Manifesto |
| topic | Software Engineering Artificial Intelligence D.2.0 |
| url | https://arxiv.org/abs/2605.07717 |