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Get Started Free →Deploy feature to target environment (dev/staging/prod) with level-based strategy. Triggers: deploy, /pdca deploy, 배포, デプロイ, 部署, desplegar, déployer, bereitstellen, distribuire.
.claude/skills/popup-studio-ai-deploy/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-02 | ✗→✓ | ▲ Improved | 53% | 0% |
| case-05 | ✗→✓ | ▲ Improved | 10% | 0% |
| case-08 | ✗→✓ | ▲ Improved | 76% | 0% |
| case-09 | ✗→✓ | ▲ Improved | 47% | 0% |
| case-11 | ✗→✓ | ▲ Improved | 197% | 0% |
> Deploy code to target environment with automated CI/CD pipeline generation. > Strategy adapts based on project level (Starter/Dynamic/Enterprise).
bash/pdca deploy {feature} # Deploy to default env (dev) /pdca deploy {feature} --env dev # Deploy to DEV /pdca deploy {feature} --env staging # Deploy to STAGING (requires DEV 90%+) /pdca deploy {feature} --env prod # Deploy to PROD (requires STAGING 95%+ & Human Approval) /pdca deploy status # Show deploy state machine status
| Level | Strategy | Environments | Tools | |-------|----------|-------------|-------| | Starter | Guide only | dev | GitHub Pages, Netlify, Vercel | | Dynamic | Docker + GHA | dev, staging | Docker Compose, GitHub Actions | | Enterprise | 6-Layer CI/CD | dev, staging, prod | Terraform, EKS, ArgoCD, Canary |
/pdca deploy feature --env dev
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① Level Detection (Starter/Dynamic/Enterprise)
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② Generate CI/CD Files (if not exist)
├── .github/workflows/deploy.yml
├── Dockerfile (Dynamic/Enterprise)
├── docker-compose.yml (DEV)
├── k8s/ manifests (Enterprise)
└── terraform/ (Enterprise)
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③ Deploy State Machine Transition
init → dev → verify(90%) → staging → verify(95%) → approval → prod(canary) → complete
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④ Return to PDCA Check phase| Gate | Condition | Action | |------|-----------|--------| | DEV → STAGING | Match Rate ≥ 90% | Auto-promote | | STAGING → PROD | Match Rate ≥ 95% + Human Approval | Require /pdca deploy --env prod | | PROD Canary | Error rate < threshold | Auto-rollout 10% → 25% → 50% → 100% |
.github/workflows/deploy.yml — Docker build + push + deployDockerfile — Multi-stage builddocker-compose.yml — DEV environment.env.example — Environment variables templateinfra/terraform/ — AWS infrastructureinfra/k8s/ — Kubernetes manifestsinfra/argocd/ — ArgoCD Application + Helmbash/pdca deploy rollback {feature} # Rollback current deploy /pdca deploy rollback {feature} --env prod # Rollback specific environment
Rollback triggers:
/pdca deploy rollback commandself-healing agent exhausts its 5-iteration auto-fix budget without restoring SLO, it triggers /pdca deploy rollback as final remediation (see Self-Healing Integration below).Rollback resets deploy state machine to idle and restores previous version.
The self-healing agent (linked-from-skills: deploy) closes the deploy ⇄ recovery loop:
| Stage | Trigger | Action | |-------|---------|--------| | Detect | Sentry/Slack error pattern matches deploy window | self-healing agent activated via 8-lang triggers ("자동 수정", "auto fix", etc.) | | Diagnose | 4-Layer Living Context loaded (Scenarios + Invariants + Impact + Incidents) | Identify deploy-introduced regression | | Auto-fix | Spawn code-analyzer + gap-detector via Task tool | Up to 5 iteration cycles with scenario runner verification | | Verify | Re-run feature scenarios | Pass → auto PR; Fail → escalate | | Escalate | Iteration budget exhausted or critical invariant violated | Trigger /pdca deploy rollback + alert human on-call |
Invocation paths:
/pdca deploy rollback first checks for active self-healing session and aborts to wait for it; user can force-bypass with --force-rollbackThe self-healing → deploy contract is mediated by lib/audit/audit-logger.js ACTION_TYPES (rollback_executed, agent_completed, gate_failed) so all transitions remain audit-trail compliant.
| Event | When | Hook | |-------|------|------| | deploy-start | Deploy initiated | Pre-validation | | deploy-complete | Deploy successful | Post-notification | | deploy-failed | Deploy failed | Error handling + rollback suggestion |
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