This beginner-friendly path introduces practical workflows for using an AI coding assistant in Django software development. You will learn how to navigate the command-line interface, make targeted code changes, run terminal commands, create files, and use visual or web context to support development tasks. The path then moves into building Django applications from scratch, including APIs, interactive user interfaces, validation, error handling, and more advanced application logic. You will practice prompting strategies that help translate feature ideas into working code. You will also learn how to work in larger projects by exploring unfamiliar codebases, planning changes across multiple files, and making precise updates without losing track of project structure. By the end, you will be prepared to use AI-assisted workflows for both new Django apps and production-oriented feature development.
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Overview
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Syllabus
- Use Codex CLI to navigate projects, edit code, run commands, and manage development sessions
- Build Django applications from scratch using natural language prompts
- Implement APIs, user interfaces, validation, and error handling in Django projects
- Plan and coordinate multi-file feature changes for production-ready applications
- Create user authentication workflows with structured prompting strategies
- Explore large codebases and apply precise prompts for local and structural changes