AI Coding Assistants: Cursor and Codex Workflows

AI coding assistants are transforming software development, but choosing between autonomous agents and integrated co-pilots can be overwhelming. This text-based course guides you through the fundamental differences between Codex-style models and Cursor-based IDE workflows, helping you select and apply the right tool for your development needs. What you'll learn: 1. Understand the core differences between autonomous coding agents and interactive co-pilots. 2. Configure Cursor to effectively index your local codebase for context-aware assistance. 3. Apply advanced prompting techniques to generate clean, functional code and minimize errors. 4. Leverage AI-driven debugging workflows to find and resolve bugs in real-time. 5. Manage security, privacy, and licensing considerations when using AI coding assistants. 6. Structure your development workflow to balance manual coding with AI generation. You will begin with foundational concepts of LLM-based coding before progressing to practical text-based case studies demonstrating how to configure, prompt, and optimize your development environment. This course is designed for beginner to intermediate developers and technology professionals looking to adopt AI tools. No prior experience with AI coding assistants is required. Start reading today to elevate your development workflow with modern AI tools.