Get your project using Spec-driven development in 2 minutes
- ✅ Install sce and adopt it in your project
- ✅ Tell your AI about the methodology
- ✅ Let AI work according to Spec-driven approach
- Specs reduce ambiguity before coding starts.
- Orchestrate mode scales from single feature to multi-Spec parallel delivery.
- KPI commands make progress and risk measurable, not just "looks done".
npm install -g scene-capability-engineVerify:
sce --versioncd your-project
sce adoptThis creates .sce/ directory with:
README.md- Project development guidesteering/- Development rulesspecs/- Where Specs will live
In your AI tool (Cursor, Claude, Windsurf, etc.), say:
Please read .sce/README.md to understand how this project works.
Your AI will learn:
- This project follows Spec-driven development
- Every feature starts with a Spec (requirements + design + tasks)
- How to work with this methodology
Just ask your AI to implement features:
I need a user login feature with email and password.
Your AI will:
- Bootstrap a Spec draft (
requirements/design/tasks) - Refine requirements and design with you
- Run the staged Spec workflow
- Implement according to the Spec
If you want to run commands manually:
# Single-Spec recommended flow
sce spec bootstrap --name 01-00-user-login --non-interactive
sce spec pipeline run --spec 01-00-user-login
sce spec gate run --spec 01-00-user-login --json
# Multi-Spec flow (defaults to orchestrate mode)
sce spec bootstrap --specs "01-00-user-login,01-01-user-session" --max-parallel 3
sce spec pipeline run --specs "01-00-user-login,01-01-user-session" --max-parallel 3
sce spec gate run --specs "01-00-user-login,01-01-user-session" --max-parallel 3The AI uses sce commands automatically - you don't need to learn them.
Generate a sample KPI input file:
sce value metrics sample --out ./kpi-input.json --period 2026-W10 --jsonThen run:
sce value metrics snapshot --input ./kpi-input.json --jsonIf you prefer manual input, use:
{
"period": "2026-W10",
"metrics": {
"ttfv_minutes": 25,
"batch_success_rate": 0.86,
"cycle_reduction_rate": 0.34,
"manual_takeover_rate": 0.16
},
"notes": "quick-start smoke run"
}This gives you a machine-readable snapshot with risk level and output paths.
You're now using Spec-driven development. Your AI understands the methodology and will follow it.
Key insight: You don't "use sce" - your project "follows Spec-driven methodology" and sce helps enforce it.
- Integration Modes - Understand how AI tools work with sce
- Spec Workflow - Deep dive into Spec creation
- Tool Guides - Tool-specific tips
Version: 1.46.2
Last Updated: 2026-02-14