CF

5 Levels of Agents - Coding Agents

5h 4m 36s
English
Paid
Updated September 2026

5 Levels of Agents - Coding Agents is a 13-lesson 5 hours 4 minutes self-paced course by Mckay Wrigley. Mckay Wrigley structures this course as five increasing levels of complexity for building coding agents — software that reviews, tests, and even writes code on your behalf.

Course facts

Lessons
13
Duration
5 hours 4 minutes
Level
All levels
Language
English
Updated
2026-09-11
Instructor
Mckay Wrigley
Price
Premium

Mckay Wrigley structures this course as five increasing levels of complexity for building coding agents — software that reviews, tests, and even writes code on your behalf.

The five levels

  • Level 1 — foundational agents for basic code review and error detection
  • Level 2 — agents that run automated testing with minimal manual input
  • Level 3 — iterative agents that use loops to handle repetitive tasks
  • Level 4 — agents that convert plain-text descriptions into working functions
  • Level 5 — a look at where coding agents are headed next

With over 5 hours of video and 13 lessons built around hands-on projects, the course leaves you with working agent code at each level (full source is on GitHub) rather than just a conceptual overview of what agents can do.

Additional

Who teaches 5 Levels of Agents - Coding Agents? 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.

What lessons are included in 5 Levels of Agents - Coding Agents?

This is a demo lesson (10:00 remaining)

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#1: 1.1 Intro
All Course Lessons (13)
#Lesson TitleDurationAccess
1
1.1 Intro Demo
10:51
2
2.1 Intro
14:00
3
2.2 Setup
25:32
4
2.3 Project
49:05
5
3.1 Intro
22:32
6
3.2 Setup
20:34
7
3.3 Project
42:10
8
4.1 Intro
15:22
9
4.2 Setup
19:46
10
4.3 Project
27:38
11
5.1 Intro
22:41
12
5.2 Setup
12:00
13
5.3 Project
22:25
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Frequently asked questions

What prerequisites are needed to enroll in this course?
Prospective students should have a foundational understanding of programming concepts and experience with at least one programming language. Familiarity with basic code review and testing processes will be beneficial, as the course builds on these concepts, particularly in the initial modules focusing on foundational coding agents and intermediate testing agents.
What types of projects will I build during the course?
Students will work on several projects that align with the five levels of complexity in agent development. These include creating agents for basic code review and error detection, automated testing procedures, and iterative agents utilizing loops. Additionally, you will develop agents that convert text descriptions into functional code, showcasing the ability to automate and enhance programming tasks.
Who is the ideal target audience for this course?
This course is ideal for software developers and engineers looking to automate and enhance their coding workflows through intelligent agents. It also caters to tech enthusiasts interested in exploring the capabilities of coding agents across various programming tasks, from basic to complex automation.
How does this course's depth and scope compare to similar courses?
The course offers a structured progression through five levels of agent complexity, starting with foundational tasks and advancing to sophisticated text-to-function conversion. This structured approach ensures a comprehensive understanding of agent development, providing a deeper dive into each aspect compared to courses that may only cover basic automation or testing.
What specific tools or platforms are used in the course?
The course content focuses on the development of coding agents without specifying particular tools or platforms. Instead, it emphasizes the principles of agent creation and the application of these agents to various programming tasks such as code review, testing, and text-to-function conversion.
What topics are explicitly not covered in this course?
The course does not cover the implementation of coding agents in specific software development environments or integrations with particular IDEs. It focuses on the conceptual understanding and creation of agents rather than their deployment in specific technological stacks.
What is the expected time commitment to complete this course?
While the total runtime of the course content is not specified, students can expect to invest a significant amount of time per module to fully grasp each level's concepts, complete the projects, and practice applying the skills learned. Given the 13 lessons, a time investment of several hours per lesson, including project work, is reasonable.