Alex Shershebnev is a seasoned Computer Vision and MLOps Engineer with over nine years of experience shaping the future of AI-driven software development. Currently, Alex leads the ML/DevOps team at Zencoder, where he leverages his extensive background in Software Engineering, ML and DevOps to deliver high-quality machine learning solutions. His work spans complex data pipelines, cloud infrastructure management (GCP, Kubernetes), and advanced ML/DevOps pipelines, ensuring scalability and efficiency. Before Zencoder, Alex played pivotal roles in numerous projects, including leading teams at Sanas, ivi and MTS AI.

Coding assistants promise you will code faster and smarter. And some even go beyond that claiming they could replace junior or middle developer with just their tool. However, the reality is not as bright. In this talk, we'll first explore the current generation of coding assistants to understand why they don't deliver their promises, what their drawbacks are, and what is the underlying cause for them. We will then discuss one of the possible solutions, namely, AI Agents. With some quick coding, we will see how you could implement such agents on your own with nothing but the OpenAI API Key and a bit of time. We will also dive deeper into how they can be applied specifically to coding to make your everyday life easier. You'll also learn about the tools that will allow you to elevate your coding experience with those AI Agents already today without any hassle.