ENTERPRISE ENGINEERING LIFECYCLE
A potential design for AI-Native Agentic Application
Development Lifecycle
A²DLCthe operating model
A practical lifecycle with the best of Specification-Driven Development, Agile, TDD, the V-Model, DevSecOps and Autonomous AI agents with human governance loop.
Specifications as executables
Agents as digital teammates
Continuous verification
Human accountability
THE OPERATING PRINCIPLE
A closed-loop engineering system - not a linear SDLC
Specifications remain the authoritative source of truth. Agile drives iterative delivery, TDD is embedded in every task, and the V-Model guarantees end-to-end verification. DevSecOps and Platform Engineering automate delivery and operations, while specialised AI agents continuously assist, review, test, document, deploy, observe and improve - all under human governance.
01
Traceable
Every artifact links back to a specification.
02
Verified
Every change is continuously validated.
03
Augmented
AI amplifies - it does not replace - human judgement.
A²DLC LIFECYCLE
Nine stages, one human loop
AGILE ITERATION ⟳
THE NEW PROJECT STRUCTURE
The AI-First Engineering Organization for A²DLC Lifecycle
A small cadre of humans sets direction and governs; an AI-led workforce executes the lifecycle end-to-end.
