AI Coding Assistants: Enhancing Developer Productivity

• An understanding of basic software development concepts
• Experience with a programming language (e.g., Python, JavaScript)
• Familiarity with integrated development environments (IDEs)

Audience

• Software developers
• Technical team leads
• Product managers

AI Coding Assistants are tools designed to improve the efficiency and creativity of software developers.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level software developers who wish to integrate AI coding assistants into their development workflow.

By the end of this training, participants will be able to:

• Understand the role and capabilities of AI coding assistants in software development.
• Utilize various AI coding assistant tools to automate routine coding tasks.
• Integrate AI coding assistants into their software development lifecycle.
• Enhance their productivity and focus on more complex and creative programming tasks.
• Address ethical considerations and responsible use of AI in software development.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Introduction to AI Coding Assistants

• Overview of AI in software engineering
• History and evolution of AI coding assistants
• Key features and capabilities

Technologies Behind AI Coding Assistants

• Machine learning and natural language processing
• Code analysis and generation algorithms
• Integration with development environments

Popular AI Coding Assistant Tools

• Comparative study of different tools
• Hands-on sessions with tools like GitHub Copilot, IntelliCode, etc.
• Community contributions and extensions

Best Practices and Workflow Integration

• Incorporating AI assistants into daily workflows
• Collaboration with AI assistants
• Customizing and training your AI assistant

Case Studies and Real-World Applications

• Success stories of AI assistants in development projects
• Limitations and challenges
• Future trends and developments

Ethical Considerations and Responsible Use

• Addressing bias and fairness in AI tools
• Intellectual property and code ownership
• Privacy and security implications

Project Work

• Developing a mini project with the aid of an AI coding assistant
• Peer reviews and feedback sessions

Summary and Next Steps