AI-Assisted Database Engineering: Master Claude Code for System Design

Course Overview

Welcome to the ultimate practical guide to Claude Code, Anthropic's revolutionary command-line tool for agentic coding. In this course, software engineers, backend developers, and system design enthusiasts will learn how to integrate Claude Code into their daily development workflows.

To ground these AI capabilities in real-world engineering, we will use Claude Code to analyze, refactor, and design high-performance database architectures. Specifically, we will explore the system design evolution of massive message storage systems—examining transitions from MongoDB to Apache Cassandra and ultimately ScyllaDB.

What You Will Learn

By the end of this course, you will be able to:

• Install, configure, and launch the Claude Code CLI.
• Manage models, usage limits, token context, and global sessions.
• Master various interaction modes including Shell Mode, Plan Mode, and Sub-Agents.
• Apply Claude Code to refactor existing codebases, manage context, and handle file system initializations (Claude.md).
• Understand the scalability limitations of MongoDB and Apache Cassandra when handling massive, write-heavy workloads.
• Analyze how high-scale platforms migrate database systems with zero downtime.
• Grasp data partitioning and bucketing strategies used to optimize message storage and retrieval.

Prerequisites

To get the most out of this course, you should have:

• Basic knowledge of database systems, NoSQL concepts, and distributed systems architecture.
• Familiarity with terminal/CLI environments and basic programming concepts.
• A general understanding of AI coding assistants.

Tools & Technologies

• Claude Code CLI (Anthropic's agentic command-line developer tool)
• VS Code & VS Code Extension
• MongoDB, Apache Cassandra, and ScyllaDB (for database architectural case studies)
• Go / C++ (languages used in high-performance NoSQL database engines)