About FDLC.ai / 10
Software factories need engineering discipline, too.
FDLC is the factory operating system: the disciplined layer around agents, models, tools, people, policies, evidence, and workflows. FDLC.ai is the ecosystem that develops, demonstrates, teaches, and applies it.
“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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