AI Development Lifecycle

The AI Development Lifecycle, or AI-DLC, is Rory Richardson's framing for applying AI across the full software development lifecycle, not just code generation: product direction, specifications, implementation, review, modernization, operations, and feedback loops all become AI-assisted and less linear ^[src-057].

Key points

AI-DLC compresses the linear SDLC stages that used to flow through tickets, epics, specs, implementation, test, and release ^[src-057].
Richardson uses AWS Project Mantle as a reference point: a large Bedrock rewrite estimated at roughly 30 people for a year was delivered in about 76 days with senior developers and about 200,000 lines of non-bloated code ^[src-057].
Product management changes because specs that once took weeks can be rewritten in hours, requiring PMs to stay embedded with fast-moving engineering teams ^[src-057].
AI-DLC includes the "mucky" parts of development: changing direction, generating and revising specs, creating commits, operating systems, and retiring technical debt ^[src-057].
The lifecycle becomes more nonlinear. Epics and ticketing systems still exist, but AI changes the unit of work and the speed at which teams must resynchronize ^[src-057].
^[src-094] applies the same shift to the classical SDLC: requirements, architecture, implementation, QA, code review, deployment, maintenance, and evolution are all reshaped by coding agents.
In that framing, requirements and planning become agent-readable specifications and success criteria; design and architecture define constraints; implementation runs the harness; QA combines tests and evals; and maintenance evolves prompts, context, memory, tools, and guardrails ^[src-094].
The paper also adds the Software Factory Model: the lifecycle is not just faster execution, but an operating system for producing and verifying code through agents ^[src-094].

Related entities

Related concepts

Source references

^[src-057] Amazon Web Services — "The Future of Agentic AI with Rory Richardson | AWS Humans In The Loop Podcast" (2026-05-01)
^[src-094] Addy Osmani, Shubham Saboo, Sokratis Kartakis – "The New SDLC With Vibe Coding" (2026-05)

Robin Cartier perspective

This page is part of Robin Cartier's working AI knowledge graph: a practical research layer for production AI, recommendation systems, experimentation, GEO, and agentic web readiness.

The useful next step is to connect this concept back to applied product leadership and operating models.

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