- Clean, readable code with proper formatting
- Consistent naming conventions
- Proper code organization and structure
- Comments and documentation where appropriate
- No unnecessary complexity
- Comprehensive error handling for all scenarios
- Proper error messages that are user-friendly
- Appropriate HTTP status codes for API responses
- Graceful degradation when things go wrong
- Logging and debugging information
- Proper type definitions for all interfaces
- Type safety throughout the code
- No 'any' types unless absolutely necessary
- Generic types where appropriate
- Interface definitions that match the data structure
- Comprehensive test cases covering all scenarios
- Edge case testing (empty arrays, undefined data, etc.)
- Error scenario testing
- Test structure and organization
- Test documentation and explanations
- Clear explanations of the solution approach
- Decision rationale for key choices
- Time estimates and actual completion time
- Questions and clarifications about requirements
- Suggestions for improvement
- Generic solutions without specific context
- Overly verbose comments that don't add value
- Standard patterns without customization
- Missing understanding of specific technologies
- Generic error handling without context
- Copy-paste solutions from documentation
- Lack of business logic understanding
- Specific solutions to the problem
- Understanding of the technology stack
- Custom error handling for the specific use case
- Proper TypeScript usage with specific types
- Thoughtful approach to the problem
- Business logic considerations
- Performance considerations
- Security considerations
- All requirements met perfectly
- Exceptional code quality
- Comprehensive error handling
- Perfect TypeScript implementation
- Excellent test coverage
- Outstanding documentation
- Most requirements met
- Good code quality
- Adequate error handling
- Good TypeScript usage
- Good test coverage
- Good documentation
- Basic requirements met
- Acceptable code quality
- Basic error handling
- Basic TypeScript usage
- Basic test coverage
- Basic documentation
- Some requirements missing
- Poor code quality
- Inadequate error handling
- Poor TypeScript usage
- Poor test coverage
- Poor documentation
- Major requirements missing
- Very poor code quality
- No error handling
- No TypeScript usage
- No test coverage
- No documentation
- "Can you explain your approach to solving this challenge?"
- "How did you handle the error scenarios?"
- "What TypeScript patterns did you use and why?"
- "How would you test this in a production environment?"
- "What would you do differently if you had more time?"
- "What was the most challenging part of this problem?"
- "How did you debug the issues you encountered?"
- "What assumptions did you make about the data?"
- "How would you handle this at scale?"
- "What security considerations did you think about?"
- "Have you worked with similar technologies before?"
- "What's your experience with Supabase/PostgreSQL?"
- "How do you typically approach debugging production issues?"
- "What's your experience with Next.js API routes?"
- "How do you handle data validation in your applications?"
- No error handling in any of the solutions
- Generic solutions that don't address the specific problem
- Poor TypeScript usage or no types at all
- No test cases or very basic tests
- Copy-paste code from documentation
- No understanding of the business logic
- Vague explanations of the solution
- No questions about requirements
- Unrealistic time estimates
- Poor English or communication skills
- No follow-up questions about the project
- Submitting all challenges in unrealistic time
- Identical solutions across different challenges
- No progress updates or communication
- Missing files or incomplete submissions
- No explanation of the approach
- Comprehensive error handling for all scenarios
- Specific solutions that address the exact problem
- Excellent TypeScript usage with proper types
- Thorough test coverage including edge cases
- Clean, maintainable code
- Understanding of the business context
- Clear explanations of the solution approach
- Thoughtful questions about requirements
- Realistic time estimates
- Good English and communication skills
- Follow-up questions about the project
- Reasonable time to complete challenges
- Unique solutions for each challenge
- Regular progress updates
- Complete submissions with all required files
- Detailed explanations of the approach
- Score 80% or above on all challenges
- Demonstrates manual coding skills
- Shows understanding of the technology stack
- Provides comprehensive solutions
- Communicates well and asks good questions
- Completes challenges in reasonable time
- Score below 70% on any challenge
- Shows signs of AI coding without understanding
- Lacks understanding of the technology stack
- Provides incomplete solutions
- Poor communication or no questions
- Takes unrealistic time or submits too quickly
- Schedule a video interview to discuss solutions
- Ask technical questions about their approach
- Discuss the full project requirements
- Negotiate terms and timeline
- Set up development environment access
- Provide feedback on their solutions
- Explain what was missing
- Suggest improvements for future opportunities
- Thank them for their time and effort
Remember: The goal is to find a developer who can solve real problems, not just complete coding challenges. Look for someone who demonstrates understanding, problem-solving skills, and the ability to work with your specific technology stack.