Quick Start: Your First Feature in 5 Minutes
Version: 1.0.0 Date: 2026-02-17
Build a working, tested feature from scratch using nWave. Three commands, five minutes.
Prerequisites:
- Platform: Linux, macOS, or Windows (WSL2 required)
- nWave installed —
sh -c "$(curl -fsSL https://raw.githubusercontent.com/nWave-ai/nWave/main/scripts/install/install.sh)"— in your terminal, not Claude Code - Claude Code open in an empty Python project with
pytestavailable - Use a permanent directory (not
/tmp) — later tutorials build on this project
What You'll Build
An ASCII art banner generator. Give it text, get back block letters in your terminal:
$ python -m banner "nWave"
N N W W AA V V EEEEE
NN N W W A A V V E
N N N W W W AAAA V V EEE
N NN WW WW A A V V E
N N W W A A V EEEEE
Three commands. You review at each step. The machine never runs without your approval.
Step 1: Define What You Want
/nw-discuss "ASCII art banner generator: a pure Python function that takes a string and returns multi-line ASCII block letters. Only uppercase A-Z and spaces. No external dependencies."
The @product-owner agent asks clarifying questions — answer simply. When it finishes, you'll find requirements under:
docs/feature/{feature-id}/discuss/
SSOT model: Product-level documents (journeys, architecture) are in
docs/product/. Feature-specific artifacts (user stories, wave decisions) are indocs/feature/{feature-id}/discuss/.
What to check: Open the file. Are the requirements reasonable? Is the scope small? If the agent added too much (colors, fonts, animations), edit the file and remove it. Keep it simple: one function, block letters, A-Z + space.
Expected time: ~1 minute
Step 2: Define "Done"
/nw-distill
The @acceptance-designer creates Given-When-Then test scenarios. You'll find them under tests/.
What to check: You should see 2-4 scenarios like:
- Single letter renders correctly
- Full word renders correctly
- Spaces between words work
- Empty input returns empty output
If there are more than 5 scenarios, ask the agent to consolidate. Fewer scenarios = faster delivery.
Expected time: ~1 minute
Step 3: Build It
/nw-deliver
This is where the magic happens. The @software-crafter implements your feature using Outside-In TDD:
- Reads your acceptance tests
- Creates a roadmap (one step per scenario)
- For each step: writes a failing test → makes it pass → cleans up
- Commits after each green test
What you'll see: The agent works through each step. This takes 2-3 minutes for a feature this small. You'll see test runs, code being written, and commits being made.
When it's done: All acceptance tests pass. Run them yourself:
pytest tests/ -v
You should see all green.
Try It
Your banner generator is ready. Test it:
python -c "from banner import render; print(render('HI'))"
You should see block letters in your terminal.
What Just Happened
Three commands. Three human checkpoints. One working feature with tests.
You typed Agent did You checked
───────── ───────── ───────────
/nw-discuss Wrote requirements ✓ Scope right?
/nw-distill Created acceptance tests ✓ Scenarios cover it?
/nw-deliver TDD implementation ✓ Tests pass?
The feature is tested, committed, and ready to use.
What's Next
- Bigger feature: See Your First Feature for a multi-phase workflow with architecture design
- Existing codebase: See Jobs To Be Done Guide for adding features to brownfield projects
- Need help?: Type
/nw-buddy "what should I do next?"to get contextual guidance from the concierge agent - All commands: See nWave Commands Reference