Session Abstract

The rapid adoption of AI coding assistants is reshaping software development, driving efficiency while introducing significant security and compliance challenges. These tools accelerate coding, reduce cognitive load, and democratize development, yet they also propagate vulnerabilities, amplify automation bias, and blur security responsibility. This talk explores the implications of AI-assisted coding, balancing its transformative potential with emerging risks, and outlines strategies to harness its benefits while mitigating security pitfalls.

Maxim Salnikov

Maxim Salnikov is a tech and cloud community enthusiast based in Oslo. With over two decades of experience as a web developer, he shares his extensive knowledge of the web platform, cloud computing, and AI by speaking at and providing training for developer events worldwide. By day, Maxim plays a crucial role in supporting the development of cloud and AI solutions within European companies, serving as the leader of developer productivity business at Microsoft. During evenings, he can be found running events for Norway's largest web and cloud development communities. Maxim is passionate about exploring and experimenting with Generative AI possibilities, including AI-assisted development. To share his insights and connect with like-minded professionals globally, he founded and organized the inaugural Prompt Engineering Conference, the first of its kind on a global scale.