What is spec-driven development?
A development methodology where every feature is specified, reviewed, and approved as a written artifact before code is generated — turning AI-assisted work into something reviewable, revertible, and maintainable.
Spec-driven development is a software practice in which a feature progresses through gated stages — a PRD, an architecture doc, a plan, then the build — and each stage produces an approved, version-controlled specification that the next stage must build on. The spec, not the chat history, is the source of truth.
Vibe coding feels fast. Spec-driven development stays fast.
Prompting for code with no plan is quick — until the third change breaks the second one. A spec keeps the velocity and adds a spine.
Vibe coding
One long chat. Decisions live in your head and scroll away.
A gated pipeline
Every stage is written down and approved before the next begins.
How SpecManager embodies spec-driven development
SpecManager implements the methodology as six gated stages. Each produces an approved markdown artifact committed to git before the next can begin.
The gates are enforced in shared code, not in a prompt — the builder physically cannot advance a feature past an unapproved stage. Approvals are yours to give, and every artifact is plain markdown committed to your repo. This is the difference between a methodology you intend to follow and one your tooling guarantees.
Spec-driven development replaces ad-hoc prompting with a sequence of approved, version-controlled specifications. For Claude Code, SpecManager enforces this as a six-stage gated pipeline — PRD, architecture, plan, build — so AI moves fast without producing code no one can review or maintain.
Spec-driven development, answered
Is spec-driven development the same as waterfall?
No. Specs are written per feature and approved in small phases, not for the whole product up front. You keep iterative delivery — each feature flows through the pipeline independently and ships when its phase is done.
Does it slow AI coding down?
The approval gates add minutes, not days. In exchange you remove the compounding rework that unstructured “vibe coding” creates once a codebase grows past a few features.
What does a spec actually contain?
A PRD (problem, users, goals, success metrics), an architecture doc (components, data, interfaces), and a plan (phased, scored tasks). All are git-tracked markdown — reviewable and revertible by intent.
Your next feature deserves a spec.
Bring structure to your AI workflow without losing the speed that made it worth using.