Coding with AI Assistants: Modern Developer Workflows

Software development is evolving rapidly with the rise of artificial intelligence. To stay competitive, developers must learn how to collaborate effectively with AI companions to write cleaner code in less time. This text-based course guides you through the fundamentals of AI-assisted development, showing you how to integrate these tools into your daily editor setup. You will transition from manual coding to an augmented workflow where you orchestrate code generation, refactoring, and debugging safely and efficiently. What you'll learn: - Understand the foundational concepts of generative AI and how large language models assist with programming tasks - Configure and navigate popular AI coding assistants within modern integrated development environments - Write precise prompts to generate accurate code snippets, documentation, and unit tests - Debug and refactor existing codebases using AI-driven suggestions and explanations - Apply critical evaluation techniques to validate AI-generated code for security, performance, and correctness - Establish secure workflows to prevent intellectual property leaks and dependency vulnerabilities The course begins with core definitions and the mechanics of AI models before moving into practical setup guides. You will then explore real-world scenarios, learning to write prompts, review generated outputs, and maintain code quality through structured written explanations and code snippets. This course is designed for software developers, students, and technology professionals who want to modernize their workflow. No prior experience with AI tools is required, though a basic understanding of any programming language is helpful. Start reading today to transform your coding process with modern AI tools.