About FDLC.ai / 10
Software factories need engineering discipline, too.
FDLC is the Factory Development Lifecycle—the open operating model, engineering framework, and reference architecture for designing, building, governing, operating, measuring, and continuously improving AI software factories.
Official long-form positioning
One discipline. One ecosystem. One accountable operating model.
FDLC.ai is an open framework, reference architecture, and enterprise platform for designing, governing, and operating AI software factories that deliver trusted autonomy at enterprise scale. It establishes the Factory Development Lifecycle as the end-to-end operating model, engineering discipline, and technical architecture for autonomous software delivery. FDLC defines how organizations design, assemble, orchestrate, operate, govern, verify, measure, and continuously improve the agents, models, skills, tools, context, workflows, execution environments, policies, and human decision points that transform business and engineering intent into secure, independently verified, production-ready software. Mission Control provides the open-source reference implementation, the AI Software Factory Guide defines the methodology, forward-deployed engineering converts real customer challenges into reusable factory capabilities, and the commercial control plane enables organizations to scale autonomous software delivery across teams, repositories, and delivery pipelines—without sacrificing quality, security, accountability, or human oversight.
“Autonomy without evidence is just faster guessing.”
The goal is neither maximum human involvement nor zero human involvement. It is appropriately governed autonomy, earned through measured performance.
Why this exists
An open discipline around a moving stack.
- 01
A lifecycle
Factories change faster than the software they produce. They need an explicit method for design, operation, verification, and controlled improvement.
- 02
Evidence
Probabilistic execution can be useful, but consequential progression needs attributable, exact-current proof.
- 03
Model independence
Models and coding agents will keep changing. The durable asset is the governed contract around them.
- 04
Mission Control
A category needs a working reference implementation with its constraints visible—not only diagrams.
- 05
An open foundation
Independent implementations should be able to share artifact semantics, verification contracts, and maturity language.
Built in the open
FDLC defines it. Mission Control demonstrates it. The Guide teaches it.
FDLC.ai is led by Jay West, drawing on engineering leadership, quality engineering, automation, platform engineering, and agentic software systems. FDLC Deploy applies the discipline to bounded customer workflows; the proposed Enterprise layer is intended to industrialize proven factory lines. Public content is intentionally separated from confidential employer systems and unsupported claims.
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