Assembly Line Protocol (ALP) is a framework for producing software people can trust — with AI doing the work. Not by constraining what AI can build, but by giving the process the structure that turns generated code into something you can confidently ship: predictable, reviewable, and safe by design.
The idea is simple. A car factory does not build a car in one step. It moves through stations — chassis, engine, paint, quality control — each with a clear role, a clear input, and a clear output. Software is no different. ALP applies that same thinking to AI-assisted development.
Work moves through a sequence of stations. At each station, an AI agent receives a focused task. When it is done, the result moves to the next station. The pipeline is auditable at every step. Human review gates can be inserted wherever trust needs to be established. Nothing ships until it has passed through the full line.
ALP standardises the plumbing that every team rebuilds from scratch today: how does a task get dispatched to an AI agent? How does the agent signal it is done? How do you chain multiple agents in sequence? How do you handle failures, retries, and approval steps?
The full specification — including the four roles (Server, Runner, Operator, Agent), the task lifecycle, transition rules, and gate mechanics — is available here: