CF

Planning with Claude Code

47m 32s
English
Paid
Updated September 2026

Planning with Claude Code is a 1-lesson 47 minutes self-paced course by Mckay Wrigley. The hardest part of working with an AI coding agent often isn't the code, it's giving it a clear plan to follow.

Course facts

Lessons
1
Duration
47 minutes
Level
All levels
Language
English
Updated
2026-09-11
Instructor
Mckay Wrigley
Price
Premium

The hardest part of working with an AI coding agent often isn't the code, it's giving it a clear plan to follow. Mckay Wrigley's workshop is built entirely around that problem.

The Project

You build a small marketing landing-page generator on a basic Next.js setup, using the ShadCN Next.js template as your starting point, with Claude Code guiding the work inside Cursor IDE.

Setting Up an AI Workflow

  • Choosing a model for the task, such as Sonnet or Opus
  • Writing a cloud.md rules file and a settings.local.json for local configuration
  • Setting up Git with proper commits, branches, and a private repo

Planning With AI

You start with a simple to-do.md, then let Claude turn it into a detailed task list, read your project structure, update its own rules file, and work through the plan step by step, using faster Sonnet runs when you just need quick results. The point isn't to treat Claude as a shortcut, but to build a real workflow around planning, task tracking, and project management.

Who teaches Planning with Claude Code? Mckay Wrigley

Mckay Wrigley thumbnail

Mckay Wrigley is a US developer and AI educator who runs Takeoff AI, an applied-AI engineering academy that has grown into one of the most active LLM-focused course platforms on the market. He publishes daily on X / Twitter, is widely cited for his ChatGPT / Claude-integration tutorials, and has one of the larger independent applied-AI followings.

His CourseFlix listing carries sixteen Takeoff courses — covering everything from foundational LLM-integration with the OpenAI and Anthropic APIs through RAG pipelines, AI-assisted coding workflows, and full-stack AI product builds. Material is paid and aimed at working developers who want to ship AI features into real products rather than read survey-style introductions to the field.

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Frequently asked questions

What are the prerequisites for enrolling in this course?
Before enrolling, you should have a basic understanding of HTML, CSS, and JavaScript, as well as familiarity with React. This course involves using the Next.js framework, so prior experience with this tool will be beneficial. Additionally, knowledge of working with IDEs and version control systems like Git is recommended.
What project will I be working on during this course?
You will build a simple front-end tool that generates marketing landing pages. This involves starting a project using the ShadCN Next.js template, setting up the project environment in Cursor IDE, and managing your project using Claude Code for task planning and workflow support.
Who is the target audience for this course?
This course is designed for developers who are interested in integrating AI into their coding workflows, particularly those who are looking to enhance their task planning and project management skills. It is suitable for individuals who have a foundational knowledge of web development and want to explore the use of AI tools like Claude Code.
How does this course differ from other courses on AI in development?
Unlike many AI development courses that focus solely on implementing AI features, this course emphasizes using AI as a supportive tool for task planning and workflow management. It offers a practical approach to integrating AI into everyday coding tasks, which can enhance productivity and project organization.
What specific tools and platforms will I use in this course?
You will use Next.js for the project framework and Claude Code for AI-supported task planning. The development work will be conducted in the Cursor IDE, and you will manage your project with Git, utilizing commits and branches in a private repository. Additionally, you will work with Claude models like Sonnet or Opus to guide your development tasks.
What topics are not covered in this course?
The course does not cover advanced AI model training or the creation of complex machine learning algorithms. It focuses on using existing AI tools for workflow enhancement and task management rather than developing new AI systems.
What is the expected time commitment for this course?
As the course consists of a single lesson with no specified runtime, the time commitment is relatively low. The focus is on understanding task planning with AI and setting up a basic project workflow, which can be completed at your own pace. The actual time may vary based on your familiarity with the tools involved.