Workshop Overview

This intensive workshop transforms developers into AI-Powered Developers capable of collaborating with AI systems as full development partners. Participants learn how modern development has shifted from writing every line of code manually to orchestrating reasoning systems through context engineering and iterative workflows.

The program introduces vibe coding, a development style where developers guide AI systems through structured context, evaluation loops, and architectural intent rather than manual implementation. The day culminates in a large hands-on lab where participants solve complex problems across domains using modern AI development environments.

Target Audience

The workshop is designed for a wide spectrum of learners, from junior developers and curious technologists taking their first steps into AI, through software engineers and DevOps practitioners seeking to integrate AI into modern development workflows, and up to experienced AI engineers and technical leaders who want to deepen their understanding of Agentic AI architectures, production systems, and advanced AI engineering practices.

By combining conceptual depth with hands-on implementation, it enables participants at every level to expand their capabilities, from learning the fundamentals of AI-powered development to building and operating sophisticated intelligent systems in real-world environments.

Topics

In this intensive workshop, participants will learn how to integrate AI agents directly into the development lifecycle using:

• AI coding environments
• CI/CD automation
• ticketing systems
• infrastructure platforms

By the end of the program, participants will build a production-grade AI engineering pipeline where agents can:

• read tasks from issue trackers
• generate code
• run tests
• open pull requests
• deploy to clusters

Lab: Build the AI Engineering Pipeline

Goal – Understand how AI systems communicate with tools through MCP.

MCP Core Components

• AI Model
• MCP Client
• MCP Server
• External Tool / Service

CI/CD Tools

• Jira tasks
• GitHub repositories
• CI pipelines
• Kubernetes cluster

From Vibe Coding to AI Coding Agents Pipelines

An AI agent receives a Jira issue and:

• creates code
• pushes to repository
• runs CI
• deploys to Kubernetes
• reports result back to Jira

Workshop Outcomes

• practice vibe coding for engineering workflows
• integrate AI with ticketing and CI/CD systems
• automate development pipelines
• design AI observability agents
• analyze production logs using AI
• implement AI-assisted incident diagnostics