What is Feed, Forge, Finish?

Feed, Forge, Finish (FFF) is a pull-based, AI-native software delivery methodology. Think of it less like a project management framework and more like a deterministic state machine for shipping work. Tickets exist in exactly one of three explicit states. Movement between them requires an explicit trigger. There is no calendar, no sprint, no standup pretending to be productive. The system either delivers, or it tells you precisely where it's stuck. The full specification lives at triplef.dev.

The Three Stages

Feed - The Inlet

Raw ideas, feature requests, and bug reports get refined into staged, ready-to-trigger tickets. Nothing reaches the build floor until the requirements are crisp and the acceptance criteria are explicit. This is where ambiguity dies, so it can't waste a single hour of build time later.

Forge - The Autonomous Loop

Once a ticket is triggered, AI agents execute the build-review-test cycle on their own. Humans intervene by exception, not by schedule. There are no standups, no sprint ceremonies, no calendar-driven theater. The work moves because the system moves.

Finish - The Outlet

When the Forge declares done, a validation package is produced for human audit. A single confirmation command ships it to production. Nothing deploys by accident. Nothing waits in a backlog because someone forgot to push the button.

Why It's Good For Customers

Most software vendors sell you on hours, sprints, or vague promises about "agility." We sell you on something measurable: when did you ask, and when did it ship. Here's what that buys you in practice.

Predictable Delivery

Cycle Time replaces velocity. You know exactly how long a feature takes from trigger to live, because we measure the only number that matters: elapsed time.

Quality That Doesn't Slip

Every change passes through a validation gate before deployment. There is no 'we'll fix it in the next sprint' because there is no sprint.

Total Transparency

Every ticket has an explicit state. You always know what's in Feed, what's in Forge, what's at Finish. No status meetings required.

Speed Without Burnout

The Forge loop runs on AI agents, not on humans grinding through tickets. Your project doesn't stall when someone takes a vacation.

Scope You Control

Work doesn't start until you confirm it. Work doesn't ship until you confirm it. You stay in the driver's seat on both ends.

Auditable By Default

Every stage transition is logged. Every deployment has a validation package attached. Compliance and accountability are built in, not bolted on.

Cycle Time, Not Velocity

Traditional software teams measure velocity, story points completed per sprint. The metric is internal, gameable, and tells you almost nothing about when your business will actually see the feature in production. FFF throws it out and replaces it with Cycle Time: the elapsed wall-clock duration from "trigger this ticket" to "this ticket is live." It's the only number a customer should care about, because it's the only number that maps directly to business value. Lower the Cycle Time and you raise the throughput of your business. Everything else is noise.

Why We Authored It

We run a 100-person operation with a 10-person team. That's not a marketing claim, it's an engineering reality, and Feed, Forge, Finish is the methodology that makes it possible. We didn't find FFF in a book or buy it from a consultant. We wrote it because nothing else worked at the scale of AI-native development we're doing. Then we published it at triplef.dev because we believe the industry is overdue for an honest, deterministic alternative to ceremonial agile. Every product we ship for clients runs on FFF. When you hire us, you don't just get the software, you get the operating system underneath it.