Transform Your Programming with AI Coding Tools

Overview

Generating code with AI tools seems like a dream for programmers, but using code generation effectively requires you to carefully match your needs with the capabilities and approaches of these tools. Learn how to match programming projects with the right tools, and explore how far these tools can go with challenging tasks like testing and refactoring.Analyze where you will find the greatest gains.Plan your tools and processes around generative capabilities.Practice using a variety of different tools.

Syllabus

• Introduction to AI in Programming
Overview of AI coding tools
Historical context and evolution of AI in software development
• Understanding AI Code Generation Tools
Types of AI coding tools (e.g., code completion, code generation, refactoring)
Key features and differences
Current capabilities and limitations
• Matching Projects with AI Tools
Assessing project requirements
Selecting appropriate AI tools based on project type
Case studies of successful tool application
• Practical Use of AI Tools for Coding
Setting up and integrating tools into your workflow
Hands-on practice with popular tools (e.g., GitHub Copilot, TabNine, Kite)
Writing and improving code snippets using AI
• AI in Software Testing
Automating unit tests with AI
Challenges and best practices
Real-world examples of AI's impact on software quality assurance
• AI-Assisted Refactoring
Understanding refactoring needs
Using AI for code optimization
Case studies of successful refactoring projects
• Maximizing Gains with AI Tools
Identifying areas for potential productivity boosts
Balancing automation with manual coding
Strategies for continuous improvement
• Planning and Implementing AI-Driven Development
Integrating AI tools into existing workflows
Team collaboration and tool usage
Measuring performance and ROI
• Future Trends and Challenges in AI Code Generation
Emerging tools and technologies
Ethical considerations and best practices
Preparing for future advancements
• Conclusion and Next Steps
Summary of key takeaways
Recommendations for further learning and development
Q&A and feedback session
• Capstone Project
Applying learned concepts to a real-world coding project using AI tools

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Taught by

Morten Rand-Hendriksen, Dakota Fabro, Gary Kovar, Maven Analytics, Rob Bos and Mike Smith

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Subjects

Programming