Architecture under pressure

System design practice

System design is the discipline of translating product requirements into scalable components, interfaces, storage choices, and trade-offs. AI can draft diagrams, but senior engineers still need to choose the right bottleneck, defend consistency choices, and explain what breaks first.

Who should practice system design?

Senior engineers

Staff engineers

Engineering managers

Backend and infrastructure candidates

Outcomes

What Hatch trains you to do

These are the capabilities the app grades and coaches while you work through scenarios.

Clarify requirements

Map data flow and APIs

Choose storage and scaling patterns

Defend reliability, latency, and cost trade-offs

FLOW mapping

How FLOW scores system design

The same four moves apply across every discipline, but the evidence changes by track.

Frame

Frame product requirements, scale, reliability, latency, and durability constraints.

List

List components, APIs, storage choices, queues, and failure modes.

Optimize

Optimize for the bottleneck that matters most to the product.

Win

Win by defending the architecture and naming what breaks first.

Practice formats

Representative prompts

Format

Scalable feeds

Format

Notifications

Format

Search systems

Format

Queues and workers

Format

Realtime collaboration

Prompt

Design a realtime notification system for 50M users.

Prompt

Design product analytics ingestion for a fast-growing SaaS company.

Prompt

Design a collaborative document editor with offline support.

FAQ

Questions about system design

Does HackProduct teach system design or only interview prep?

Both. The public directory explains the skill, and the app gives you scenario reps, live follow-ups, and rubric-driven feedback.

Why include product context in system design?

Architecture choices only make sense relative to user needs, traffic shape, durability requirements, and business constraints.

Turn system design into reps.

Run a live loop, get a score, and see the next move.