This talk explores the practical implications of integrating AI-powered coding assistants into software development workflows. We'll examine how these tools can enhance productivity through features like intelligent code completion and bug detection, demonstrating their benefits in reducing development time and improving code quality.

We'll address challenges developers face when using these tools, including overreliance and the potential for introducing subtle bugs. The session will provide strategies for effectively leveraging code assistants while maintaining critical thinking and code quality.

Attendees will learn techniques for validating AI-generated code, understanding when to rely on assistants versus human expertise, and adapting their skills to stay relevant in an AI-assisted development environment. This talk aims to equip developers with the knowledge to make informed decisions about adopting and using coding assistants effectively in their daily work.