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Starts 7 June 2025 10:20

Ends 7 June 2025

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12 Principles for Coding with AI - Beyond the Basics

Master essential principles for leveraging AI in coding workflows to boost productivity by 10-40%, going beyond basic prompting to achieve more efficient and effective development practices.
CS Dojo via YouTube

CS Dojo

2544 Courses


20 minutes

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Overview

Master essential principles for leveraging AI in coding workflows to boost productivity by 10-40%, going beyond basic prompting to achieve more efficient and effective development practices.

Syllabus

  • Introduction to Advanced AI Coding Practices
  • Overview of AI advancements in development
    Importance of optimizing coding workflows
  • Principle 1: Enhanced Code Efficiency
  • Code refactoring with AI tools
    Implementing AI-driven optimization
  • Principle 2: Intelligent Error Detection and Correction
  • Utilizing AI for faster debugging
    Automated testing strategies
  • Principle 3: Contextual Code Suggestions
  • Leveraging AI for contextual auto-completion
    Improving coding speed with personalized suggestions
  • Principle 4: Integrating Machine Learning Models
  • Basics of embedding AI models in applications
    Utilizing pre-trained models for common tasks
  • Principle 5: AI-Powered Code Reviews
  • Automating code reviews with AI
    Enhancing code quality and compliance
  • Principle 6: Collaborative Development with AI
  • Bridging team workflows with AI-assisted tools
    Improving version control and integration processes
  • Principle 7: Advanced Data Utilization
  • AI-enhanced data analysis for informed coding decisions
    Utilizing datasets for training and improving AI solutions
  • Principle 8: Task Automation and Scheduling
  • Automating routine tasks using AI
    Time management and prioritization techniques
  • Principle 9: Security and AI Implementation
  • Integrating AI for security vulnerability detection
    Ensuring secure AI deployments
  • Principle 10: Optimizing Resource Management
  • AI-driven resource allocation and efficiency
    Scaling applications with AI insights
  • Principle 11: Customizing AI Workflows
  • Tailoring AI solutions to specific project needs
    Updating and maintaining custom AI workflows
  • Principle 12: Ethics and Responsible AI Coding
  • Understanding ethical considerations in AI development
    Implementing responsible AI practices in coding projects
  • Conclusion and Future Trends
  • Review of key principles and benefits
    Exploring future directions and ongoing developments in AI coding

Subjects

Programming