Team Rollout Guide
Who This Is For
Team leads and second-plus developers joining an existing nWave project. You have at least one developer already using nWave and want to extend that workflow to the full team.
First Developer: Project Owner Setup
If you are the first developer on the project:
# 1. Install nWave (installs the CLI, deploys agents, runs doctor)
sh -c "$(curl -fsSL https://raw.githubusercontent.com/nWave-ai/nWave/main/scripts/install/install.sh)"
# 2. Run your first wave on a real feature
# (inside Claude Code)
/nw-discuss "user login with email and password"
# 3. Commit the artifacts so teammates can see them
git add docs/feature/
git commit -m "docs(feature): add discuss artifacts for user-login"
git push
The docs/feature/ directory is the handoff surface. Whatever you commit there is what your teammates will read.
Note: If
git statusshowsdocs/feature/as untracked but not staged, check whether your.gitignoreexcludes it. Some project templates include broaddocs/exclusions that prevent wave artifacts from being committed.
If the project has a .nwave/des-config.json (rigor profile), commit that too:
git add .nwave/des-config.json
git commit -m "chore(config): add nwave project rigor config"
Second Developer: Joining an Existing nWave Project
# 1. Clone the repo (or pull latest if already cloned)
git clone <repo-url>
cd <repo>
# 2. Install nWave on your machine
sh -c "$(curl -fsSL https://raw.githubusercontent.com/nWave-ai/nWave/main/scripts/install/install.sh)"
# 3. Verify your install is healthy
nwave-ai doctor
If nwave-ai doctor reports any issues, fix them before proceeding. Common first-run issues are listed in Common Team Issues below.
# 4. See where the feature is
ls docs/feature/
# Example output: user-login/
ls docs/feature/user-login/
# Example: discuss/ design/ distill/
# The subdirectories tell you which waves have been completed.
# 5. Read the latest artifact to get context
cat docs/feature/user-login/discuss/journey.md
# 6. Open Claude Code and join at the current wave
# (inside Claude Code)
/nw-buddy What is the current state of the user-login feature?
The buddy reads your project files including docs/feature/ and tells you which wave to run next.
Working on the Same Feature Simultaneously
One feature, one branch. The canonical setup:
git checkout -b feature/user-login
# Both developers work on this branch
# Wave artifacts go to docs/feature/user-login/
Artifact conflict resolution:
Wave artifacts are prose files. Git merge conflicts in docs/feature/ are normal and resolved the same way as any prose conflict: read both versions, keep the correct one. Wave artifacts follow a progression: discuss before design, design before distill. If two developers edited the same artifact concurrently, the artifact at the furthest wave in the sequence is authoritative for downstream waves; for same-wave conflicts, resolve as a normal prose merge and agree on content before proceeding.
When to split work:
Split into parallel branches only if two developers are working on entirely different features. A single feature should have one active branch. Splitting a feature mid-wave (e.g., one developer at DISTILL, another back at DISCUSS) creates wave artifact divergence that is painful to reconcile.
Handoff mid-wave:
If developer A is in the middle of /nw-distill and developer B needs to continue:
- Developer A commits whatever partial artifacts exist:
git commit -m "wip(distill): partial acceptance tests for user-login" - Developer B pulls, reads the artifacts, and runs
/nw-buddyto get context before continuing - Developer B does not re-run earlier waves: the buddy will tell them to continue from DISTILL
Common Team Issues
Mismatched nwave-ai versions
Symptom: one developer sees commands the other does not, or /nw-buddy behaves differently between machines.
Fix:
nwave-ai --version # check your version
uv tool upgrade nwave-ai # upgrade
nwave-ai install # re-install agents and commands
nwave-ai doctor # verify
Pin the minimum version in your project README.md: "Requires nwave-ai >= X.Y.Z".
Diverged ~/.claude/skills/
Symptom: nwave-ai doctor passes on one machine but not another. Or agents behave inconsistently.
Fix: skills are installed from the PyPI package. If versions match, skills match. Run nwave-ai install again to reset to the package version. Do not manually edit ~/.claude/skills/ files: edits there are local only and will be overwritten on next install.
Stale hook paths after reinstall
Symptom: DES messages stop appearing in Claude Code. Or nwave-ai doctor reports a hook registration issue.
Fix:
nwave-ai uninstall
nwave-ai install
nwave-ai doctor
This resets hook paths to match your current Python environment.
Mid-wave handoff: new developer does not know which wave to run
Symptom: second developer runs /nw-discuss on a feature that is already at DISTILL, creating duplicate artifacts.
Fix: always read docs/feature/<name>/ before running a wave command. The directory structure is the state machine. Alternatively:
/nw-buddy What wave should I run next for <feature-name>?
nwave-ai doctor fails on SessionStart advisory
Symptom: you see an advisory in your Claude Code session context warning that doctor checks failed.
Fix: run nwave-ai doctor from the terminal. It prints the specific check that failed and the fix command. The most common cause is a Python version mismatch or a hook path pointing to a deleted virtualenv.
docs/feature/ not committed
Symptom: second developer clones the repo and sees an empty docs/feature/ directory or no directory at all.
Fix: wave artifacts must be explicitly committed. They are not created automatically by nwave-ai install. The first developer must git add docs/feature/ && git commit after each wave.
Workshop Format (90-Minute Team Session)
Use this format when introducing nWave to a team that has not used it before.
Before the session (10 minutes prep):
- Choose one real, small feature from your backlog (not a toy example)
- Have one laptop with nWave already installed and
nwave-ai doctorgreen
Session structure:
| Time | Activity |
|---|---|
| 0-15 min | Everyone installs: sh -c "$(curl -fsSL https://raw.githubusercontent.com/nWave-ai/nWave/main/scripts/install/install.sh)" |
| 15-25 min | Facilitator runs /nw-discuss on the chosen feature, narrates decisions aloud |
| 25-35 min | Team reviews the docs/feature/ artifact together, edits if needed, commits |
| 35-50 min | Facilitator runs /nw-distill, team reviews acceptance tests |
| 50-70 min | Facilitator runs /nw-deliver, team watches RED_ACCEPTANCE test produced and the start of GREEN (a full TDD cycle is longer than this slot — stop after the acceptance test) |
| 70-85 min | Q&A: common issues, rigor profiles, how to hand off tomorrow |
| 85-90 min | Assign: each attendee picks a feature and runs DISCUSS solo before next session |
Key points to make during the session:
- The agents produce drafts: the team reviews and edits before the next wave
~/.claude/is yours alone;docs/feature/is the team's shared memorynwave-ai doctoris the first diagnostic: run it before filing a bug
Where to Learn More
- Your First Feature — end-to-end tutorial, zero to working code
- Wave Directory Structure — how artifacts are organized
- Jobs To Be Done — which wave fits your task
- Agents and Commands Reference — full agent and command list
- Troubleshooting — broader issue reference
- Discord — team questions and community support