amit/quantum-ai-v2
1
0
Fork 0
mirror of https://github.com/thecyberlearn/quantum-ai-v2.git synced 2026-08-18 12:52:59 +00:00
Code Issues Actions Packages Projects Releases Wiki Activity
fb085f215a
quantum-ai-v2/.github/PULL_REQUEST_TEMPLATE.md
Claude ffb429239d 🔒 Implement comprehensive deployment control system 
- Create protected branch strategy: main (production) ← staging ← development
- Configure Railway deployment controls with environment-specific settings
- Add GitHub branch protection setup script with automated configuration
- Implement comprehensive deployment control documentation:
  - Complete deployment control guide with Railway configuration
  - Quick reference development workflow guide
  - Detailed deployment checklist for all phases
  - Pull request template with quality gates

🛡️ Safety Features:
- main branch: Protected, requires PR approval, auto-deploys to production
- staging branch: Optional pre-production testing environment
- development branch: Safe zone for all development work, no auto-deploy
- Emergency procedures: Hotfix and rollback processes documented

🚀 Workflow Benefits:
- Prevents accidental production deployments
- Maintains development velocity on safe branches
- Clear promotion path: development → staging → production
- Automated quality gates and approval processes

📋 Setup Instructions:
- Run ./scripts/setup_branch_protection.sh for GitHub protection
- Configure Railway to deploy only from designated branches
- Use DEVELOPMENT_WORKFLOW.md for daily development guide

Generated with Claude Code
Co-Authored-By: Claude <noreply@anthropic.com>
2025-07-27 17:53:30 +05:30

3.7 KiB
Raw Blame History

Pull Request

Description

Type of Change

  • 🐛 Bug fix (non-breaking change which fixes an issue)
  • ✨ New feature (non-breaking change which adds functionality)
  • 🎨 UI/UX improvement (changes to user interface or experience)
  • 🔧 Refactoring (code change that neither fixes a bug nor adds a feature)
  • 📚 Documentation update
  • 🚀 Performance improvement
  • 🔐 Security improvement
  • 🤖 New AI agent (marketplace agent addition)
  • ⚡ Breaking change (fix or feature that would cause existing functionality to not work as expected)

Agent Development (if applicable)

  • Agent type: Webhook / API
  • Agent category: ________________
  • Price: _______ AED
  • N8N workflow configured (webhook agents)
  • BaseAgent catalog entry created
  • Component-based template implemented
  • Dynamic pricing using {{ agent.price }}
  • Standardized toast messages

Testing Checklist

  • Tested locally with python manage.py runserver
  • All existing tests pass
  • New tests added for new functionality
  • Database migrations tested (if applicable)
  • Tested with different user permission levels
  • Mobile/responsive design tested
  • Cross-browser compatibility verified
  • Agent functionality tested end-to-end (if applicable)

Security Checklist

  • No hardcoded secrets or API keys
  • Input validation implemented
  • Authentication/authorization properly handled
  • CSRF protection in place for forms
  • File upload validation (if applicable)
  • XSS prevention measures implemented
  • SQL injection prevention (using Django ORM)

Deployment Readiness

  • Environment variables documented
  • Static files optimization completed
  • Database migration strategy confirmed
  • Rollback plan prepared
  • Documentation updated
  • CLAUDE.md updated (if needed)

Code Quality

  • Code follows project conventions
  • Functions and variables properly named
  • No duplicate code
  • Error handling implemented
  • Logging added where appropriate
  • Performance considerations addressed

Branch Strategy

  • development ← Feature/bug fix
  • staging ← Ready for staging deployment and testing
  • main ← Ready for production deployment (requires approval)

Related Issues

Fixes #(issue_number) Closes #(issue_number) Related to #(issue_number)

Screenshots (if applicable)

Additional Notes

For Reviewers

Review Checklist

  • Code quality and conventions followed
  • Security considerations addressed
  • Testing coverage adequate
  • Documentation complete and accurate
  • No breaking changes (or properly documented)
  • Performance impact considered
  • Deployment requirements understood

Agent Review (if applicable)

  • Agent follows established patterns
  • Component-based template architecture used
  • Proper error handling and user feedback
  • Marketplace integration complete
  • Pricing and wallet validation correct

Security Review

  • No security vulnerabilities introduced
  • Authentication and authorization correct
  • Input validation comprehensive
  • File handling secure (if applicable)
  • Payment processing secure (if applicable)