System Design for Velocity Coders

Hosted by Arjay McCandless

Wed, Dec 17, 2025

6:00 PM UTC (45 minutes)

Virtual (Zoom)

Free to join

Invite your network

What you'll learn

Choose the Right Tech Stack Fast

Learn a quick framework to pick the right tools so you can start building immediately.

Ship Your Project With a Simple, Repeatable Deployment Flow

Learn a lightweight deployment pattern (Vercel, Render, or simple EC2) that lets you ship fast without over-engineering.

Sketch a Simple, Scalable Architecture

Learn a quick method to visualize your whole system before you start coding.

Ask me Anything

20 minute Q&A. Ask me anything from career advice to system design tips.

Why this topic matters

Most developers waste days “vibe coding” without a plan, leading to rewrites, bugs, and systems that don’t scale. This lesson shows you how to make a few key decisions up front so you can build faster, and avoid the traps that slow 90% of developers down. By the end, you’ll be able to go from idea to functional system without hesitation, becoming a faster and more reliable builder.

You'll learn from

Arjay McCandless

ex-SDE @Amazon, Tech Influencer (300k+ followers)

I’m a software engineer and builder who’s passionate about systems, AI, and education. I spent the first two years of my career at Amazon, where I worked on large-scale distributed systems that served hundreds of millions of requests. Before that, I interned at Amazon, which gave me a strong foundation in backend development, cloud infrastructure, and scalable system design.


Today, I’m part of the team at Maven, where I design and build systems for large-scale content distribution and creator growth. My work spans architecture, automation, and content creation, helping expert instructors reach more students through smarter tools and infrastructure.


Outside of work, I build side projects at the intersection of AI, developer tools, and system design education. I’m deeply interested in how AI can accelerate engineering, how great tools empower people, and how the next generation of computer science majors can navigate a changing industry.


Whether it’s through content, tools, or mentorship, I love helping early-career engineers sharpen their technical foundation and think more strategically about their careers. I've built an audience of over 300,000 engineers across Instagram, TikTok, and YouTube doing exactly this.

Previously At

Amazon
Maven
Lockheed Martin

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