< session />
Developing Production-ready Apps in Collaboration with AI Agents
Thu, 24 April
AI agents are the next major evolution in software development, automating routine tasks, streamlining business workflows, and significantly enhancing developer productivity. However, just like any tool—AI-powered or otherwise—understanding how to use AI coding agents correctly is key to maximizing their benefits.
In this hands-on workshop, you will experience AI coding agents firsthand as we collaborate with them in real-time to build a production-ready application from scratch. We will be working with Zencoder, an AI coding agent platform designed to accelerate product development. The session will provide practical, interactive insights into how AI can assist at various stages of the software development lifecycle.
What You'll Learn
- How AI coding agents enhance development workflows and assist with code generation, debugging, and optimization.
- Best practices for working effectively with AI assistants to maximize accuracy and productivity.
- Hands-on experience with Zencoder: Build a working Python application in real-time with AI-driven collaboration.
What You Need to Bring
- A laptop with either VSCode or JetBrains (PyCharm) installed.
- Basic Python programming experience to get the most out of the session.
Target Audience
This workshop is perfect for Software Engineers, Developers, and AI Enthusiasts eager to explore practical AI-assisted development. Tech Leads and Product Builders looking to enhance team efficiency with AI-driven coding will also benefit from this session.
< speaker_info />
About the speaker
Alex Shershebnev
Head of ML/DevOps, Zencoder
Alex 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. His technical expertise in machine learning, data science, and bioinformatics has led to impactful solutions across industries, ranging from bioinformatics at the University of Massachusetts to video analysis at ivi.ru and MTS AI. Alex has a proven track record of managing complex infrastructure that scales to hundreds of GPUs, enabling effective and easy use of cloud infrastructure for data scientists while driving down costs through cloud consolidation efforts and boosting productivity through the deployment of sophisticated AI models. In addition to his technical contributions, Alex has been instrumental in mentoring teams and fostering a culture of innovation and collaboration. His deep understanding of AI systems, from developing recommendation engines to cutting-edge computer vision algorithms to voice and NLP, positions him as a thought leader in the AI and ML space. Whether it’s speaking on the latest advancements in MLOps, sharing insights on AI-driven automation, or discussing the future of AI in the enterprise, Alex brings a wealth of knowledge, practical experience, and a passion for pushing the boundaries of what’s possible with AI.
