CF

Turbo Mode: Optimizing Productivity with AI Tools and Agents

1h 2m 46s
English
Paid
Updated September 2026

Turbo Mode: Optimizing Productivity with AI Tools and Agents is a 6-lesson 1 hour 2 minutes self-paced course by Daniel Kelly, Garrison Snelling, Justin Schroeder, Vue School. Stop Re-Explaining Yourself to the Model By default, an AI assistant starts fresh every session — it doesn't remember your codebase, your conventions, or your last conversation the way a new hire would after a few weeks on the job…

Course facts

Lessons
6
Duration
1 hour 2 minutes
Level
All levels
Language
English
Updated
2026-09-11
Instructor
Daniel Kelly, Garrison Snelling, Justin Schroeder, Vue School
Price
Premium

Stop Re-Explaining Yourself to the Model

By default, an AI assistant starts fresh every session — it doesn't remember your codebase, your conventions, or your last conversation the way a new hire would after a few weeks on the job. This course is about fixing that.

What You'll Build

  • Custom AI agents tailored to your own workflow
  • Rule files that encode your preferred code style
  • Context files that carry over project details and business requirements automatically

Instead of hoping the model happens to guess right, you learn to set it up as a consistent, well-briefed collaborator that produces useful output more often.

Additional

EARLY ACCESS. TO BE CONTINUE

Who teaches Turbo Mode: Optimizing Productivity with AI Tools and Agents?

Daniel Kelly

Daniel Kelly thumbnail

Daniel Kelly is a US developer and Vue Mastery instructor, the co-author of Mastering Nuxt with Michael Thiessen, and one of the long-running independent voices on the Vue / Nuxt ecosystem. He is also a contributor to the modern AI-coding workflow content on CourseFlix's catalog.

His CourseFlix listing carries four Daniel Kelly courses spanning the AI-coding track: RAG for Real-World AI Applications, Mastering Reusable AI Workflows for Real-World Development, Turbo Mode — Optimizing Productivity with AI Tools and Agents, and The Future Proof Dev — An Intro to AI for Web Developers.

Material is paid and aimed at developers ready to make AI-coding tools and RAG patterns deliberate parts of their daily engineering practice. For broader content, see CourseFlix's AI-Assisted Coding, RAG, and AI Agents category pages.

Garrison Snelling

Garrison Snelling thumbnail

Garrison Snelling is a US developer and AI educator focused on the practical applied-AI workflow for working software engineers — RAG implementations, AI-assisted coding, agent orchestration, and the productivity workflows around modern AI tooling.

His CourseFlix listing carries four Garrison Snelling courses: RAG for Real-World AI Applications, Mastering Reusable AI Workflows for Real-World Development, Turbo Mode — Optimizing Productivity with AI Tools and Agents, and The Future Proof Dev — An Intro to AI for Web Developers.

Material is paid and aimed at developers ready to make AI-coding tools and agentic workflows core parts of their daily engineering practice rather than side experiments. For broader content, see CourseFlix's AI-Assisted Coding, AI Agents, and RAG category pages.

Justin Schroeder

Justin Schroeder thumbnail

Justin Schroeder is a US developer and the co-founder of FormKit — the popular Vue.js form-builder library — alongside his work as an independent AI-coding educator. He has been one of the more visible voices on the modern AI-assisted-engineering workflow.

His CourseFlix listing carries four Justin Schroeder courses on the AI-engineering track: RAG for Real-World AI Applications, Mastering Reusable AI Workflows for Real-World Development, Turbo Mode — Optimizing Productivity with AI Tools and Agents, and The Future Proof Dev — An Intro to AI for Web Developers.

Material is paid and aimed at developers ready to make AI-coding and RAG patterns deliberate parts of their daily practice. For broader content, see CourseFlix's AI-Assisted Coding, RAG, and AI Agents category pages.

Vue School

Vue School thumbnail

Vue School (vueschool.io) is a Greece-based Vue.js training platform founded by Alex Kyriakidis, an early Vue community member and one of the longest-running independent Vue educators. Vue School operates as both an on-demand course platform and a Vue / Nuxt consulting business, with course material that often emerges from real client engagements.

Course material covers the full Vue ecosystem: Vue 3 fundamentals through advanced Composition API patterns, Nuxt 3 production deployment, Pinia state management, Vue Router, the testing track with Vitest, TypeScript with Vue, real-time features with Pusher / WebSockets, and the broader full-stack Vue work. Vue School also publishes the popular Mastering Pinia course in collaboration with Pinia's author Eduardo San Martín Morote.

The CourseFlix listing under this source carries over 30 Vue School courses spanning that range. Material is paid; Vue School runs on per-course or membership pricing on the original platform. Courses are aimed at Vue developers from beginner through senior level building production Vue applications.

What lessons are included in Turbo Mode: Optimizing Productivity with AI Tools and Agents?

This is a demo lesson (10:00 remaining)

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#1: Understanding AI Productivity
All Course Lessons (6)
#Lesson TitleDurationAccess
1
Understanding AI Productivity Demo
01:55
2
Keeping up with the AI landscape
14:43
3
Choosing the Right AI Code Editor
05:22
4
Choosing the Right AI Agent: AI Meets CLI
11:15
5
Rule files
21:02
6
Using MCP to extending your agents
08:29
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Frequently asked questions

What prerequisites are needed before taking this course?
There are no formal prerequisites for this course, but familiarity with programming concepts and basic AI tools will be helpful. Understanding how to use code editors and command-line interfaces will aid in grasping topics such as AI code editors and AI agents.
What projects or applications will I build during the course?
The course focuses on creating custom AI agents and developing rule files to ensure consistent code style and project context understanding. These projects aim to help you create AI tools that function as 'ideal partners' in development.
Who is the target audience for this course?
This course is designed for developers and tech enthusiasts interested in integrating AI tools into their workflow to enhance productivity. It benefits those who want to understand the evolving AI landscape and how to leverage AI agents effectively.
How does the depth of this course compare to similar AI courses?
The course offers specialized knowledge on optimizing productivity with AI tools, particularly focusing on creating custom agents and rule files. It provides practical techniques rather than general AI theory, differentiating it from broader AI courses.
Which specific tools and platforms will I learn to use?
You will learn to choose and utilize AI code editors and AI agents, particularly those that integrate with command-line interfaces. The course also covers using MCP for extending your agents, providing hands-on experience with these tools.
What topics are not covered in this course?
The course does not cover the foundational theories of AI or in-depth machine learning algorithms. Instead, it focuses on practical applications and productivity enhancements using AI tools and agents.
How much time should I expect to commit to this course?
While the total runtime is not specified, the course consists of 6 lessons. Depending on your pace, it may take a few hours to complete. Additional time may be needed for applying concepts through practice and projects.