Edwin Salguero
chore: enterprise-grade project structure, robust .gitignore, and directory cleanup
9289e29
π€ Cursor PR Review Guide for Dependabot PRs
π― Quick Start: Review All 12 Dependabot PRs
Step 1: Run the Automated Review Script
# Make the script executable
chmod +x review_dependabot_prs.sh
# Run the review workflow
./review_dependabot_prs.sh
This script will:
- β Run local tests first
- β Test Docker builds
- β Open each PR in your browser
- β Guide you through review decisions
- β Log all decisions for tracking
π Cursor-Specific Review Workflow
Method 1: Using Cursor's GitHub Integration
Open All PRs in Cursor:
# In Cursor command palette (Cmd+Shift+P):
GitHub: View Pull Requests
Review Each PR:
- Select PR from the list
- Review changes in side-by-side diff
- Add comments using Cursor's inline commenting
- Use AI assistance for code review
- Approve or request changes
Method 2: Direct PR URLs
EAName Repository PRs:
# In Cursor command palette:
GitHub: Open Pull Request from URL
# Then paste these URLs one by one:
https://github.com/EAName/algorithmic_trading/pull/6
https://github.com/EAName/algorithmic_trading/pull/5
https://github.com/EAName/algorithmic_trading/pull/4
https://github.com/EAName/algorithmic_trading/pull/3
https://github.com/EAName/algorithmic_trading/pull/2
https://github.com/EAName/algorithmic_trading/pull/1
ParallelLLC Repository PRs:
# Same process for ParallelLLC:
https://github.com/ParallelLLC/algorithmic_trading/pull/6
https://github.com/ParallelLLC/algorithmic_trading/pull/5
https://github.com/ParallelLLC/algorithmic_trading/pull/4
https://github.com/ParallelLLC/algorithmic_trading/pull/3
https://github.com/ParallelLLC/algorithmic_trading/pull/2
https://github.com/ParallelLLC/algorithmic_trading/pull/1
π Review Checklist for Each PR
Critical PRs (Review First):
1. Python 3.13 Update (PR #6)
Priority: HIGH
# Check for breaking changes
- [ ] All dependencies compatible with Python 3.13
- [ ] No deprecated features used
- [ ] Performance impact minimal
- [ ] Trading logic unaffected
2. Docker Action Updates (PRs #2, #4)
Priority: MEDIUM
# Check CI/CD pipeline
- [ ] Docker builds still work
- [ ] Image size reasonable
- [ ] Security improvements
- [ ] No breaking changes
3. GitHub Actions Updates (PRs #1, #3, #5)
Priority: LOW
# Check workflow compatibility
- [ ] Actions still function
- [ ] No deprecated features
- [ ] Performance improvements
- [ ] Security enhancements
π€ Using Cursor's AI for PR Review
AI-Assisted Review Commands:
1. Ask AI to Review Changes:
# In Cursor chat:
"Review this PR for breaking changes and security issues"
2. Check for Trading-Specific Issues:
# In Cursor chat:
"Check if these dependency updates affect our trading algorithms or risk management"
3. Validate CI/CD Pipeline:
# In Cursor chat:
"Verify that these GitHub Actions updates won't break our CI/CD pipeline"
AI Review Prompts:
For Python 3.13 Update:
"Review this Python 3.13 update for:
1. Breaking changes in our trading dependencies
2. Performance impact on our algorithms
3. Security improvements
4. Compatibility with our Docker setup"
For GitHub Actions Updates:
"Review these GitHub Actions updates for:
1. Workflow compatibility
2. Security improvements
3. Performance enhancements
4. Any deprecated features"
π Review Decision Matrix
Approve If:
- β No breaking changes detected
- β Tests pass locally
- β Docker builds successfully
- β Security improvements included
- β Performance maintained or improved
Request Changes If:
- β Breaking changes found
- β Tests fail
- β Docker build fails
- β Security vulnerabilities introduced
- β Performance degradation
Comment Only If:
- π¬ Minor concerns that don't block approval
- π¬ Suggestions for future improvements
- π¬ Questions about implementation
- π¬ Documentation requests
π‘οΈ Trading-Specific Review Criteria
Risk Management:
- No changes to risk calculation logic
- Position limits still enforced
- Drawdown protection maintained
- Compliance requirements met
Performance:
- Algorithm execution time unchanged
- Memory usage reasonable
- CPU utilization acceptable
- API response times maintained
Security:
- No new vulnerabilities introduced
- API keys still secure
- Authentication mechanisms intact
- Data encryption maintained
π― Efficient Review Strategy
Batch Review Approach:
Phase 1: Critical Updates (30 minutes)
- Python 3.13 Update - Test thoroughly
- Docker Updates - Verify builds
- Security Updates - Validate improvements
Phase 2: Standard Updates (15 minutes)
- GitHub Actions - Quick compatibility check
- Minor Dependencies - Standard review
- Documentation Updates - Verify accuracy
Phase 3: Approval (5 minutes)
- Approve safe updates
- Request changes for issues
- Merge approved PRs
π Review Template
For Each PR, Use This Template:
## PR Review: [PR Title]
### β
What I Reviewed:
- [ ] Code changes
- [ ] Dependency updates
- [ ] Breaking changes
- [ ] Security implications
- [ ] Performance impact
- [ ] Local testing
- [ ] Docker build
### π Findings:
- **Breaking Changes**: [Yes/No]
- **Security Issues**: [Yes/No]
- **Performance Impact**: [None/Minor/Major]
- **Test Results**: [Pass/Fail]
### π¬ Comments:
[Add any specific comments or suggestions]
### β
Decision:
- [ ] **Approve** - Safe to merge
- [ ] **Request Changes** - Issues found
- [ ] **Comment Only** - Minor concerns
π Quick Commands for Cursor
Keyboard Shortcuts:
Cmd+Shift+P # Command palette
Cmd+Shift+G # Source control
Cmd+Enter # Submit review
Cmd+Shift+Enter # Approve PR
Cmd+/ # Toggle comment
Useful Commands:
GitHub: View Pull Requests
GitHub: Open Pull Request from URL
GitHub: Review Pull Request
GitHub: Add Comment to Pull Request
β Success Metrics
Review Goals:
- Time: Complete all 12 PRs in < 1 hour
- Quality: 100% of critical issues caught
- Safety: No breaking changes merged
- Efficiency: Use AI assistance for 80% of reviews
Quality Checklist:
- All PRs reviewed within 24 hours
- No critical issues missed
- All approved PRs pass CI/CD
- Documentation updated as needed
- Team notified of any issues
Ready to start? Run ./review_dependabot_prs.sh
to begin the automated review workflow!