How advanced-infrastructure/ai-hiring-takehomes works
<explanation>
1. Identify the project type and purpose
- This repository is not a running application but a *documentation monorepo* that organizes take‑home test guidelines by domain (frontend, backend, etc.) and experience level (L1, L2).
- Its sole purpose is to guide candidates through different tests; there is no compiled code or deployed service.
2. Analyze the file structure
- Top‑level:
• README.md – global entry point.
• backend/ – holds backend test docs.
• frontend/ – holds frontend test docs.
- backend/L1/
• README.md – L1 guidelines.
• data/ – JSON fixtures (primary_assets.json, secondary_assets.json).
- backend/L2.md – L2 backend guidelines.
- frontend/L2/
• README.md – L2 frontend guidelines.
• deckgl.md – specialized deck.gl exercise.
3. Examine the README for additional insights
- Confirms this is a *take‑home guidelines* repo.
- Mentions other domains (DevOps, Data) that would follow the same folder pattern.
4. How to create the system‑design diagram
a. Main components (boxes)
• Root “ai‑hiring‑takehomes” repo
• Sub‑repos for each domain: Backend Tests, Frontend Tests, (DevOps Tests), (Data Tests)
• Within each domain: L1 and L2 modules
• Data assets as a nested component under backend/L1
b. Relationships and interactions (arrows)
• Arrow from Root → each Domain module to show “contains”
• Arrow from Domain → L1/L2 modules to show navigational hierarchy
• Arrow from backend/L1 module → Data Assets to show that L1 uses those fixtures
c. Architectural patterns
• *Modular folder‑based documentation*: each domain is an independent module, each level is a submodule
• It’s a *monorepo pattern* used purely for docs and test assets
d. Technologies, frameworks, libraries
• Markdown (.md) as the only “technology”
• JSON for data fixtures
5. Tailoring guidelines for this documentation project
- Emphasize modularity: show clear separation of domains (backend vs. frontend)
- Extensibility points: leave placeholders or empty boxes for DevOps and Data modules
- Navigation flow: illustrate how a candidate goes from the root README → selects a domain → picks a level → accesses specific assets
6. Diagramming best practices
- Use clear labels for:
• Repository root
• Each domain folder
• Each L1/L2 module
• Data assets
- Draw directional arrows to show the “contains” or “navigation” relationships
- Adopt color coding or shapes:
• Blue rectangles for folders/modules
• Green rectangles for Markdown docs
• Orange cylinders or parallelograms for JSON data
7. Putting it all together
- At the top, a single box labeled “ai‑hiring‑takehomes (Git Repo)”
- Beneath, branch out to boxes named “Backend Tests,” “Frontend Tests,” plus empty “DevOps Tests” and “Data Tests” for future expansion
- From “Backend Tests,” draw arrows down to “L1 Module” and “L2 Module”
• Within “L1 Module,” nest a smaller “Data Assets” box containing the two JSON files
- From “Frontend Tests,” draw an arrow to “L2 Module,” which in turn contains “deckgl.md”
- Use a legend or color key in a corner to explain shapes and colors
By following this structure, you’ll produce a clear, detailed diagram that mirrors the repository’s architecture, highlights its modular nature, and captures every essential artifact for any principal software engineer or candidate to navigate.
</explanation>