#223 - AI for JavaScript Developers: What You Actually Need to Know

Develop Yourself

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I started off 2025 knowing jack sh*t about LLMs besides how to ask Chat-GPT questions.

Since then, I've built a multi-agent app for work, learned some linear algebra to understand how LLMs work at a basic level and started using a new tech stack for working with these LLMS.

In this episode, I lay out the technologies you need to learn to keep up with AI as a full stack JavaScript developer and a project to up skill yourself.

Resources mentioned:

3Blue1Brown's Linear Algebra series

LLM Engineer's Handbook

Building a Large Language Model (from scratch)

I'll be working with 20 developers in a 30 day style cohort to up-skill with AI.

Apply here: https://www.parsity.io/ai-developer 👈

Shameless Plugs
🧠 (NEW) Parsity's The Inner Circle Program - a highly customized roadmap to take you from 0 to hired. For career changers who want to pivot into software.

💼 Zubin's LinkedIn (ex-lawyer, former Google, Brian-look-a-like)

👂🏻Easier Said Than Done Podcast

Already a developer? Check out 👉 Not Another Course

Serious about joining Parsity? Schedule a call with me ☎️

Chapters

1. Introduction to AI for Full-Stack Developers (00:00:00)

2. Understanding the Digital Divide in Tech (00:03:21)

3. How Large Language Models Actually Work (00:08:44)

4. Vector Databases and RAG Applications (00:15:48)

5. Streaming UI and Modern User Expectations (00:24:22)

6. Hands-on Project to Master AI Skills (00:31:23)

7. Recommended Resources and Upskilling Opportunity (00:36:47)