AI-Assisted Coding: GitHub Copilot, Claude Code, and Modern Workflows

Software development is evolving rapidly, and leveraging artificial intelligence is essential for staying competitive. This comprehensive, text-based course introduces you to the world of AI-assisted programming, helping you write, debug, and test code faster than ever before. You will transition from traditional manual coding to an efficient, AI-augmented workflow. By understanding how to collaborate with tools like GitHub Copilot, Claude Code, and the Model Context Protocol (MCP), you will learn to generate clean code, automate repetitive tasks, and build applications across Python, React, and SQL with confidence. What you'll learn: - Understand the foundational mechanics of generative AI coding assistants and how they integrate into modern development environments. - Apply advanced prompt engineering patterns to generate accurate, secure, and production-ready code. - Build functional applications in Python and React using step-by-step AI-assisted workflows. - Configure the Model Context Protocol (MCP) to connect AI assistants with local development tools and databases. - Write automated unit tests with modern testing frameworks using AI-guided test generation. - Debug and refactor legacy code, optimizing performance and security through intelligent AI suggestions. The course begins with essential AI pair-programming terminology and setup guides, then transitions into practical, multi-language coding scenarios and modern tool integration. This course is designed for beginners and transitioning developers; no prior experience with AI tools is required, only a basic understanding of programming concepts. Start reading today to transform your daily development workflow and build software faster.