Generative AI for Software Developers

This program introduces software developers to practical applications of Generative AI in modern software engineering workflows. Participants will learn how AI-powered tools can assist with coding, debugging, testing, documentation, and software design while improving development speed and productivity. The session focuses on real-world implementation approaches, responsible AI-assisted development practices, and methods for integrating AI into day-to-day engineering activities.

Introduction to AI in Software Development

Understanding Generative AI for developers

Evolution of AI-assisted software engineering

Opportunities and limitations of AI coding tools

Common AI platforms used in development

Real-world AI adoption in software teams

AI-Assisted Coding & Development

Generating code using AI tools

Writing functions, APIs, and reusable components

Improving development speed and efficiency

Refactoring and optimizing existing code

Multi-language development support using AI

Prompt Engineering for Developers

Writing effective technical prompts

Structuring prompts for accurate code generation

Debugging prompts and improving outputs

Generating better documentation using context

Best practices for AI-assisted development workflows

Debugging, Testing & Code Quality

Using AI for bug identification and troubleshooting

Generating unit tests and test scenarios

Improving code quality and maintainability

Identifying security vulnerabilities in code

AI-assisted performance optimization techniques

Software Design & Architecture Support

AI-assisted system design concepts

Generating architecture ideas and workflows

Database schema and API design support

Creating technical documentation and diagrams

Improving collaboration between technical teams

Responsible AI Usage in Development

Understanding AI limitations in coding

Code validation and human oversight

Security, privacy, and compliance considerations

Ethical concerns in AI-generated software

Future trends in AI-powered software engineering