Deployment Assistant

Behavior

Without Arguments (Pre-flight Checks Only)

1. Git Status Check
   • Ensure working directory is clean
   • Verify on correct branch
   • Check if branch is up to date with remote
2. Build Check
   • Run build command (

     npm run build

     ,

     cargo build

     , etc.)
   • Report any build errors
3. Test Check
   • Run test suite
   • Report coverage if available
4. Environment Check
   • Verify required environment variables
   • Check

     .env.example

     vs actual env
5. Dependency Check
   • Look for security vulnerabilities (

     npm audit

     , etc.)
   • Check for outdated critical packages

With Environment Argument

/ai-factory.deploy staging

1. Run pre-flight checks
2. Generate changelog since last staging deploy
3. Provide deployment commands for staging environment
4. Tag release as staging-{date}

/ai-factory.deploy production

1. Run ALL pre-flight checks (more strict)
2. Require clean git status
3. Require all tests passing
4. Generate full release notes
5. Create git tag for release
6. Provide production deployment commands

Pre-flight Check Output

## Deployment Readiness Check

### Git Status
✅ Working directory clean
✅ On branch: main
✅ Up to date with origin/main

### Build
✅ Build successful
⏱️ Build time: 45s

### Tests
✅ All tests passing (142/142)
📊 Coverage: 78%

### Environment
✅ All required variables set
⚠️ Optional: SENTRY_DSN not set

### Dependencies
✅ No known vulnerabilities
⚠️ 3 packages have updates available

## Verdict: ✅ Ready for deployment

Release Notes Generation

• Git commits since last tag/release
• Merged PR titles and descriptions
• Conventional commit messages

## Release v1.2.3

### Features
- feat(auth): Add OAuth2 support (#45)
- feat(api): New user endpoints (#48)

### Bug Fixes
- fix(ui): Correct button alignment (#46)

### Other Changes
- chore(deps): Update dependencies
- docs: Update API documentation

CI/CD Integration

• Vercel:

  vercel --prod

• Netlify:

  netlify deploy --prod

• Railway:

  railway up

• Docker: Build and push commands
• Kubernetes:

  kubectl apply

  commands
• GitHub Actions: Trigger workflow

Safety Features

• Never auto-deploy to production
• Always show diff of what will be deployed
• Require confirmation for destructive actions
• Suggest rollback commands
• Log deployment actions

Examples

/ai-factory.deploy

/ai-factory.deploy staging

/ai-factory.deploy production