API Design and Testing
Notes on API Design and Testing for ML platform / Applied AI interview preparation. The file index below shows what's in scope; click through to the individual notes for the depth.
Interview talking points
- Skim the file index below for the questions this folder helps answer.
- Cross-reference notes on related topics from the home page.
Files in this folder
| File | Title |
|---|---|
| 00-hld-lld-architecture.md | 00. HLD & LLD — MangaAssist Architecture (Foundation) |
| 01-api-types-overview.md | 01. Types of APIs I Built for MangaAssist |
| 02-api-testing-strategy.md | 02. API Testing Strategy — How I Tested Every Layer |
| 03-scale-testing-scenarios.md | 03. Scale Testing Scenarios — Real Issues I Faced and How I Solved Them |
| 04-interview-qa-deep-dive.md | 04. Interview Q&A Deep Dive — API Design, Testing & Scale (MangaAssist) |
| 04-offline-testing-quality-strategies.md | 04. Offline Testing Quality Strategies — Deep-Dive for MangaAssist |
| 05-grilling-sessions.md | 05. Grilling Sessions — Hard Follow-up Drills (MangaAssist) |
| 06-decision-records-perspectives.md | 06. Decision Records — Multi-Stakeholder Perspectives |
| README.md | API Design and Testing — MangaAssist |
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