CF

3 Day AI Coding Accelerator

15h 31m 6s
English
Paid

Accelerate your coding progress with our 3 Day AI Coding Accelerator. This course is designed to help engineers release production code 10 times faster by harnessing real AI workflows used by leading engineers in practice.

Course Overview

In this intensive program, you will observe and replicate the real software development process, using the tools and approaches we employ in our consulting work. As engineers first, we've integrated AI tools into feature development, reducing implementation time from weeks to days. Originally shared with senior engineers, these practices have been scaled into this course for hundreds of developers.

Master Key Workflows

Throughout the course, you will master two key classes of workflows:

  • Synchronous Workflows: Live coding with AI, managing state and context, and obtaining clean and correct code from models.
  • Asynchronous Workflows: Background tasks, automated agents, Slack triggers, and multi-step processes that operate in parallel with your ongoing work.

Complete Engineering Cycle

This course covers the entire engineering cycle, beyond just coding:

  • Generating design documents from meeting notes
  • Debugging with AI assistance
  • Code review and pull request workflows
  • Implementing custom commands, sub-agents, and rules

By course end, you'll possess a reproducible engineering system that can be applied across any codebase, stack, and development environment. You'll not only understand these approaches but also release a real production feature using learned methods.

The course is already trusted by over 200 developers, emphasizing its practical impact.

What You Will Learn

  • Automate entire stages of development and eliminate routine tasks with custom commands.
  • Connect existing tools via MCP servers for seamless work with tickets, APIs, and processes without constant context switching.
  • Develop an AI-first workflow, from planning to context loading, to prevent model errors at the infrastructure level.
  • Enhance efficiency from individual to team level by delegating tasks to autonomous agents and setting unified engineering standards.

Who This Course Is For

  • Developers seeking a clear, practical AI tool system amidst overwhelming options.
  • Team leads and technical leaders evaluating AI tools and needing strategies for informed decision-making.
  • Engineers tired of the hype, looking for honest, practice-proven AI experience.

About the Authors

Jason Liu

Jason Liu thumbnail

Jason Liu is a US ML engineer and the creator of Instructor (the most-used Python library for getting structured outputs from LLMs) and a long-running independent voice on the production-engineering side of LLM applications. He consults with companies on RAG implementations and is widely cited for the rigour of his approach to systematic RAG improvement.

His CourseFlix listing carries three Jason Liu courses: Systematically Improving RAG Applications, the accompanying Bonus Content module, and 3 Day AI Coding Accelerator. The RAG material is unusual for the depth it goes into the eval and feedback-loop side of production RAG systems — the parts of RAG work that separate a working RAG pipeline from one that hallucinates.

Material is paid and aimed at engineers running RAG in production who want to make the system measurably better rather than relying on prompt-engineering by intuition. For broader content, see CourseFlix's RAG category page.

Vignesh Mohankumar

Vignesh Mohankumar thumbnail

Vignesh Mohankumar is a software engineer and educator focused on the AI-coding workflow as a deliberate productivity discipline — particularly the short-format intensives that get experienced engineers comfortable with AI-coding tools quickly.

His CourseFlix listing carries the 3 Day AI Coding Accelerator — a focused intensive on integrating AI-coding tools (Cursor, Claude Code, Aider) into a real engineering workflow.

Material is paid and aimed at developers ready to make AI-coding tools a deliberate part of their workflow rather than a side experiment. For broader content, see CourseFlix's AI-Assisted Coding category page.

Watch Online 6 lessons

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#1: Day 1.1 Fundamentals
All Course Lessons (6)
#Lesson TitleDurationAccess
1
Day 1.1 Fundamentals Demo
01:55:55
2
Day 1.2 Sync 101
02:35:00
3
Day 2.1 Sync 101
02:34:18
4
Day 2.2 Async 102
02:26:44
5
Day 3.1 Optional: Hackathon Session 1
03:00:22
6
Day 3.2 Optional: Hackathon Session 2
02:58:47
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Books

Read Book 3 Day AI Coding Accelerator

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1AI Coding Accelerator PDF
2coding-async-101 PDF
3coding-sync-102 PDF

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Frequently asked questions

What is 3 Day AI Coding Accelerator about?
Accelerate your coding progress with our 3 Day AI Coding Accelerator . This course is designed to help engineers release production code 10 times faster by harnessing real AI workflows used by leading engineers in practice. Course Overview…
Who teaches this course?
It is taught by Jason Liu, Vignesh Mohankumar. You can find more courses by these instructors on the corresponding source pages.
How long is the course?
It contains 6 lessons with a total runtime of 15 hours 31 minutes. Every lesson is available to watch online at your own pace.
Is it free to watch?
It is part of CourseFlix's premium catalog. A subscription unlocks the full video player; the course description, table of contents, and preview information are available to everyone.
Where can I watch it online?
The course is available to watch online on CourseFlix at https://courseflix.net/course/3-day-ai-coding-accelerator. The page hosts every lesson with the integrated video player; no download is required.