This video explains how to design production-ready AI-powered applications, using the creator’s app Pluto as a concrete case study.
– Trade-offs matter: scalability, reliability, performance, and cost.
– Prefer a monorepo with shared UI and a single backend serving web, mobile, and desktop.
– Never let clients talk directly to the database; always use a server layer.
– Adopt modern abstractions (Convex, Vercel, PlanetScale) for backend, DB, durable workflows.
Quotes:
When an app hits 10 users, that app crashes.
Engineering is all about trade-offs.
The client should never ever ever ever talk to the database.
Statistics
| Upload date: | 2026-07-03 |
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| Likes: | 1308 |
| Comments: | 147 |
| Fan Rate: | 1.33% |
| Statistics updated: | 2026-07-28 |
Specification: If you’re building with AI, watch this (System Design Overview)
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If you’re building with AI, watch this (System Design Overview)
