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Stop Writing Code First — The 6-Step System Design Framework for AI Engineers
⚠️ Most AI engineers open their IDE before opening a design doc. That single habit causes late-stage rewrites, production failures, and $100M/hour downtime events.
This video walks through the complete 6-step system design framework — the process every AI architect follows before a single line of code is written. Real architecture. Real numbers. Real code.
──────────────────────────────────────
📌 WHAT YOU'LL LEARN
──────────────────────────────────────
✅ Why skipping design leads to rewrites, failures, and wasted GPU spend
✅ Step 1 — Requirements: Functional, non-functional, and AI-specific needs
✅ Step 2 — Capacity Planning: Calculate DAU, RPS, storage, and GPU compute before you build
✅ The real AI cost reality: why GPU is 70% of your infra bill ($120K+/month for 40 A100s)
✅ Step 3 — HLD & LLD: From high-level architecture to actual class structures and code
✅ Step 4 — System Qualities: Scalability, performance, availability, reliability, and maintainability
✅ Step 5 — Security Design: Prompt injection prevention
✅ Step 6 — Infrastructure: Cloud setup, GPU cost optimization
──────────────────────────────────────
⏱️ TIMESTAMPS
──────────────────────────────────────
0:00 — Why engineers code before designing (and why it fails)
0:40 — The 6-step framework overview
4:00 — Requirements Gathering (Functional, Non-Functional, AI-Specific)
7:20 — Capacity Planning — DAU, RPS, Storage & GPU Compute
9:35 — The AI Cost Reality: $120K/month for 40 A100s
10:30 — High-Level Design (HLD) — Architecture Walkthrough
12:10 — Low-Level Design (LLD) — Code, Contracts & Request Lifecycle
13:40 — Scalability & Performance
17:00 — Availability, Reliability & Maintainability
20:30 — Security & Infrastructure
25:00 — Recap & Key Takeaways
──────────────────────────────────────
👥 WHO IS THIS FOR?
──────────────────────────────────────
→ Engineers who jump straight to code without a design phase
→ AI/ML engineers building production-ready systems
→ Tech leads and architects implementing or reviewing a design process
→ Students and graduates preparing for system design interviews
→ Anyone who has been burned by a late-stage architectural rewrite
──────────────────────────────────────
🔗 SYSTEM DESIGN FOR AI ENGINEERS — SERIES
──────────────────────────────────────
▶ Episode 1: System Design Simplified — A Beginner's Overview for AI Builders [https://youtu.be/71pOG39wn_4]
▶ Episode 2: You are here
▶ Coming up: Capacity Planning for YouTube — Real Numbers, Real Scale
▶ Coming up: Capacity Planning for WhatsApp & Instagram
Subscribe and hit the 🔔 bell — new episodes drop regularly.
──────────────────────────────────────
💬 JOIN THE CONVERSATION
──────────────────────────────────────
Which of the 6 steps do you find hardest to get right? Drop it in the comments.
📌 LinkedIn: [https://www.linkedin.com/in/iseakash/]
──────────────────────────────────────
#systemdesign #aiengineering #softwarearchitecture #aiarchitecture #machinelearning #codequality #systemdesigninterview #backenddevelopment #aibuilders #techeducation
Видео Stop Writing Code First — The 6-Step System Design Framework for AI Engineers канала AkashThing
This video walks through the complete 6-step system design framework — the process every AI architect follows before a single line of code is written. Real architecture. Real numbers. Real code.
──────────────────────────────────────
📌 WHAT YOU'LL LEARN
──────────────────────────────────────
✅ Why skipping design leads to rewrites, failures, and wasted GPU spend
✅ Step 1 — Requirements: Functional, non-functional, and AI-specific needs
✅ Step 2 — Capacity Planning: Calculate DAU, RPS, storage, and GPU compute before you build
✅ The real AI cost reality: why GPU is 70% of your infra bill ($120K+/month for 40 A100s)
✅ Step 3 — HLD & LLD: From high-level architecture to actual class structures and code
✅ Step 4 — System Qualities: Scalability, performance, availability, reliability, and maintainability
✅ Step 5 — Security Design: Prompt injection prevention
✅ Step 6 — Infrastructure: Cloud setup, GPU cost optimization
──────────────────────────────────────
⏱️ TIMESTAMPS
──────────────────────────────────────
0:00 — Why engineers code before designing (and why it fails)
0:40 — The 6-step framework overview
4:00 — Requirements Gathering (Functional, Non-Functional, AI-Specific)
7:20 — Capacity Planning — DAU, RPS, Storage & GPU Compute
9:35 — The AI Cost Reality: $120K/month for 40 A100s
10:30 — High-Level Design (HLD) — Architecture Walkthrough
12:10 — Low-Level Design (LLD) — Code, Contracts & Request Lifecycle
13:40 — Scalability & Performance
17:00 — Availability, Reliability & Maintainability
20:30 — Security & Infrastructure
25:00 — Recap & Key Takeaways
──────────────────────────────────────
👥 WHO IS THIS FOR?
──────────────────────────────────────
→ Engineers who jump straight to code without a design phase
→ AI/ML engineers building production-ready systems
→ Tech leads and architects implementing or reviewing a design process
→ Students and graduates preparing for system design interviews
→ Anyone who has been burned by a late-stage architectural rewrite
──────────────────────────────────────
🔗 SYSTEM DESIGN FOR AI ENGINEERS — SERIES
──────────────────────────────────────
▶ Episode 1: System Design Simplified — A Beginner's Overview for AI Builders [https://youtu.be/71pOG39wn_4]
▶ Episode 2: You are here
▶ Coming up: Capacity Planning for YouTube — Real Numbers, Real Scale
▶ Coming up: Capacity Planning for WhatsApp & Instagram
Subscribe and hit the 🔔 bell — new episodes drop regularly.
──────────────────────────────────────
💬 JOIN THE CONVERSATION
──────────────────────────────────────
Which of the 6 steps do you find hardest to get right? Drop it in the comments.
📌 LinkedIn: [https://www.linkedin.com/in/iseakash/]
──────────────────────────────────────
#systemdesign #aiengineering #softwarearchitecture #aiarchitecture #machinelearning #codequality #systemdesigninterview #backenddevelopment #aibuilders #techeducation
Видео Stop Writing Code First — The 6-Step System Design Framework for AI Engineers канала AkashThing
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5 ч. 5 мин. назад
00:26:32
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