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Challenge Overview

Hackathon Structure​

Session Format​

  • Duration: 60-minute focused coding sessions
  • Recording: Screen capture for research analysis
  • Tasks: Real-world programming challenges
  • Tools: Full access to AI assistants and development environments

Challenge Types​

Bug Fixing​

  • Debug existing codebases
  • Identify and resolve multiple issues
  • Apply systematic problem-solving approaches

Feature Development​

  • Build new functionality from specifications
  • Design and implement complete solutions
  • Integrate with existing systems

API Integration​

  • Connect multiple external services
  • Handle authentication and error scenarios
  • Transform and process data efficiently

Code Refactoring​

  • Improve legacy code quality
  • Apply modern design patterns
  • Enhance maintainability and performance

Learning Objectives​

Technical Skills​

  • Effective AI tool utilization
  • Code quality and best practices
  • Problem-solving strategies
  • Testing and validation techniques

Professional Development​

  • Time management and productivity
  • Critical thinking and evaluation
  • Documentation and communication
  • Collaboration and knowledge sharing

Assessment Criteria​

Code Quality​

  • Functionality and correctness
  • Structure and organization
  • Documentation and clarity
  • Security and performance

AI Integration​

  • Appropriate tool selection
  • Critical evaluation of suggestions
  • Effective prompt engineering
  • Balance of AI assistance and manual work

Learning Demonstration​

  • Problem-solving approach
  • Knowledge transfer
  • Skill development evidence
  • Reflection and self-assessment

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