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Workshop Duration: 3h 40min

Developing production-ready apps in collaboration with AI Agents

Alex Shershebnev
Description

AI Agents are the next big thing everyone is talking about. They are expected to revolutionize various industries by automating routine tasks, mission critical business workflows, enhancing productivity, and enabling humans to focus on creative and strategic work. Of course, you can apply them to your everyday coding tasks as well. But just like with any other AI or non-AI-based tool, you need to understand how to use it correctly in order to maximize your benefits.

In this workshop, you'll get to experience AI coding agents first-hand as we collaborate with them in real time to build a production-ready app from scratch. For that, we will use Zencoder, an AI coding agent platform that empowers developers to ship products faster. We will be building the app in Python, and ideally, you already have some programming experience in Python to get the most out of the session. You will also need to bring your laptop with either VSCode or JetBrains (PyCharm) installed.

Preparation instructions 

Main prerequisites for the workshop include IDE (VSCode or JetBrains), Zencoder (plugin, can be found in the marketplace of VSCode or JetBrains), Docker, and optionally uvx and npx. 

Links to installation instructions can be found here https://github.com/zencoderai/developing-apps-w-zencoder?tab=readme-ov-file#prerequisites

Additionally, it is recommended to pre-download the following Docker images:

docker pull node:18-alpine
docker pull node:24-alpine
docker pull postgres:15
docker pull prom/prometheus:latest
docker pull grafana/grafana:latest
docker pull prom/node-exporter:latest

Clone the repo: https://github.com/zencoderai/web-summer-camp-2025

Speaker
Alex Shershebnev

Alex Shershebnev

Head of ML/DevOps @ Zencoder
Seasoned Computer Vision and MLOps Engineer with over nine years of experience shaping the future of AI-driven software development. Currently leading 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.

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