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מתחיל 5 June 2026 14:35

נגמר 5 June 2026

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AI Writing Our Code: Real Experience with GitHub Copilot and AI-Assisted Development

Explore the real-world impact of GitHub Copilot and AI-assisted coding, from performance expectations to ethical considerations and practical workflow integration strategies.
ISTA Conference via YouTube

ISTA Conference

6076 קורסים


24 minutes

שדרוג אופציונלי זמין

Not Specified

התקדמות בקצב שלך

Free Video

שדרוג אופציונלי זמין

סקירה כללית

Explore the real-world impact of GitHub Copilot and AI-assisted coding, from performance expectations to ethical considerations and practical workflow integration strategies.

סילבוס

  • Introduction to AI-Assisted Development
  • Overview of AI in Software Engineering
    Introduction to GitHub Copilot
    Historical context and evolution of AI in coding
  • Setting Up GitHub Copilot
  • Installation and Configuration
    Supported Environments and Languages
    Initial Setup and Personalization
  • Understanding Copilot's Capabilities
  • Code Completion Features
    Handling Documentation and Code Comments
    Integrating with Existing Workflows
  • Practical Workflow Integration
  • Best Practices for Using Copilot
    Integrating Copilot with CI/CD Pipelines
    Real-world Use Cases and Examples
  • Enhancing Developer Productivity
  • Efficiency Gains and Time Management
    Reducing Boilerplate and Repetitive Tasks
    Collaborative Coding with AI Assistance
  • Evaluating Performance and Limitations
  • Accuracy and Reliability Assessment
    Impact on Code Quality and Readability
    Limitations and Common Pitfalls
  • Ethical Considerations in AI-Assisted Coding
  • Intellectual Property and Code Ownership
    Bias and Fairness in AI-generated Code
    Privacy Concerns and Data Security
  • Case Studies and Applications
  • Success Stories from the Industry
    Comparative Studies on Development Speed and Quality
    Future Potential and Emerging Trends
  • Hands-On Projects
  • Building a Project with GitHub Copilot
    Pair Programming with AI
    Writing Tests and Debugging with Copilot
  • Final Reflections and Future Directions
  • Summary of Key Learnings
    Discussion on the Future of AI in Development
    Optional Paths for Further Study and Exploration

נושאים

Programming