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- AI
AI-Assisted Coding
AI-assisted coding leverages generative AI to accelerate software development by providing context-aware code suggestions, project refactoring, and support for navigating large codebases. These tools enhance developer productivity while requiring thoughtful oversight to ensure quality and security. This path introduces the fundamentals of AI-assisted coding, demonstrates practical applications in real-world development, and advances to multi-agent workflows and best practices across frontend, backend, and data engineering scenarios.
This learning path is actively in production. More content will be added to this page as it gets published and becomes available in the library. Planned content includes: - Introduction to AI-Assisted Coding - Applied AI-Assisted Coding - Advanced AI-Assisted Development
Content in this path
AI-Assisted Coding
Watch the following courses to get learning about AI-Assisted Coding!
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What You'll Learn
- “### What You Will Learn”
- You will learn the fundamentals of AI-assisted coding and gain an understanding of the landscape of tools available to developers.
- You will learn how to apply AI-assisted coding in practice to generate, refactor, and debug code across different development workflows.
- You will learn advanced strategies for coordinating multiple AI tools and agents, validating their outputs, and applying best practices for quality, security, and maintainability.
- Proficiency in at least one programming language, including debugging and testing code.
- Familiarity with using an IDE or code editor, as well as running commands from a terminal.
- Experience reviewing and refactoring code for quality, performance, and security.
- Generative AI
- Prompt Engineering
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