How ashishps1/awesome-low-level-design works
1. This repository is an educational monorepo for Low Level Design / Object-Oriented Design. It is not a single product system; it is a collection of independent examples, interview problem prompts, and reference implementations.
2. The top-level boundary is content vs. code:
• README.md explains the learning path.
• oop/ contains fundamentals of object modeling and relationships.
• design-patterns/ contains pattern-specific demos.
• problems/ contains problem statements/specs.
• solutions/ contains concrete implementations of those problems in multiple languages.
3. The code is organized by language, and each language tree is effectively its own isolated architecture:
• solutions/java, solutions/csharp, solutions/golang, solutions/python, and solutions/typescript.
• Each language folder has the same conceptual systems, but no shared runtime or cross-language dependencies.
• Build tooling varies by language: Maven for Java, .NET projects for C#, Go modules, npm/TypeScript config, and plain Python modules.
4. Inside design-patterns/, the repository is split by pattern family:
• Creational, Structural, and Behavioral patterns.
• Each pattern folder is a self-contained demo with a small entrypoint and a few collaborating classes.
• The architecture is intentionally minimal: one pattern example per directory, designed to show object relationships rather than app-scale boundaries.
5. The repeated structural pattern across examples is: domain model + orchestration object + optional extension points.
• Domain models represent the core entities, such as User, Order, Flight, Seat, Task, Message, or Player.
• Orchestrators are named like Service, System, Manager, Facade, Controller, or Demo.
• Extension points are usually interfaces or abstract bases implementing Strategy, State, Observer, Factory, Command, Decorator, etc.
6. A major architectural theme is stateful workflows. Many systems model lifecycle transitions with explicit state classes:
• Examples include vending machines, booking systems, ride-sharing trips, tasks, orders, elevator motion, traffic signals, and game states.
• The state objects own allowed transitions and behavior, while the main system/context delegates to the current state.
• This keeps invalid transitions out of the core entity and makes state diagrams central to the design.
7. Another recurring boundary is policy vs. orchestration:
• Strategy implementations handle variable business rules such as pricing, search, matching, payment, shipping, sorting, or recommendation.
• The core service/system selects a strategy and delegates the decision logic to it.
• This is visible in systems like online shopping, movie ticket booking, ride-sharing, stock brokerage, logistics, and social/feed generation examples.
8. Observer/pub-sub style flows are used for notification and side effects:
• Subjects publish domain events such as new posts, orders, auctions, trips, matches, or score changes.
• Observers handle downstream reactions like notifications, scoreboards, logs, commentary, or reputation changes.
• This creates a clean split between state mutation and reactive listeners.
9. Composite and aggregation-heavy examples model trees and collections:
• File systems, organizations, playlists, menus, or nested domain structures are represented as parent/child hierarchies.
• The composite boundary lets leaf and container objects share a common interface.
• These examples are useful for diagramming recursive ownership and uniform traversal.
10. Several examples use command/facade/adapter to hide operational complexity:
• Command appears in UI, media, stock-trading, restaurant, or device control flows.
• Facade wraps multi-step processes like deployment, restaurant management, hotel booking, or movie playback.
• Adapter appears where an external or legacy interface is normalized to an internal contract, especially in payment examples.
11. The repository is mostly in-memory and console/demo driven:
• There is no central database, service mesh, or web frontend architecture.
• Most examples instantiate objects in a demo main / Program / Demo file, execute a workflow, and print results.
• That means architecture diagrams should focus on object collaboration and runtime flow, not external infrastructure.
12. Many solution sets are duplicated across languages with the same conceptual layout:
• A single problem often exists as parallel implementations in C++, C#, Go, Java, Python, and sometimes TypeScript.
• The class names and responsibilities are usually similar across languages even when syntax differs.
• This makes the repo best understood as a pattern-and-domain catalog rather than a single integrated system.
13. A good architecture diagram for this repo should therefore emphasize:
• the educational/documentation layer,
• the per-language solution boundaries,
• and, inside each example, the interaction between entity models, orchestration/services, and pluggable pattern objects.
14. The most important architectural takeaway is that the repo demonstrates reusable design motifs, not shared application plumbing. Each folder is a standalone micro-architecture built around one problem or one design pattern.
Main entry points: solutions Solutions · design-patterns Patterns · README.md README · java Java
Components 19
Repo
Top-level educational monorepo boundary
- LLD Repo · Educational low-level design catalog with docs, patterns, and solutions
Docs
Learning path and problem statements
Patterns
Pattern demos grouped by family
- Patterns · Design-pattern demonstrations organized by family
design-patterns - Creational · Object creation examples and factories
design-patterns/java - Structural · Composition and wrapper examples
design-patterns/java - Behavioral · Interaction, state, and workflow examples
design-patterns/java
Solutions
Standalone problem implementations by language
- Solutions · Problem solutions organized by language with isolated trees
solutions - Java · Java implementations and Maven-based demos
solutions/java - C# · C# implementations and .NET projects
solutions/csharp - Go · Go module-based implementations
solutions/golang - Python · Python module implementations
solutions/python - TypeScript · TypeScript/NPM implementations
solutions/typescript - Java systems · Stateful apps and service-style examples with observers, strategies, and states
solutions/java/src - C# systems · Rich problem solutions with layered model/service/state structures
solutions/csharp - Go systems · Compact service and workflow examples per problem
solutions/golang - Python systems · Parallel solutions with the same educational motifs
solutions/python - TS systems · Lean demo implementations and supporting types
solutions/typescript/src
Connections 21
- LLD Repo → README: documents · Repository overview and learning path
- LLD Repo → OOP: contains · Foundational OOP material
- LLD Repo → Patterns: contains · Pattern examples hub
- LLD Repo → Problems: contains · System prompts and specifications
- LLD Repo → Solutions: contains · Reference implementations catalog
- Patterns → Creational: families · Creation-focused examples
- Patterns → Structural: families · Composition-focused examples
- Patterns → Behavioral: families · Interaction and workflow examples
- Solutions → Java: language · Java solution tree
- Solutions → C#: language · C# solution tree
- Solutions → Go: language · Go solution tree
- Solutions → Python: language · Python solution tree
- Solutions → TypeScript: language · TypeScript solution tree
- Java → Java systems: organizes · Domain systems, states, strategies, observers, and demos
- C# → C# systems: organizes · Problem-specific micro-architectures and patterns
- Go → Go systems: organizes · Standalone example systems and demos
- Python → Python systems: organizes · Standalone example systems and demos
- TypeScript → TS systems: organizes · Compact demo-oriented implementations
- README → Solutions: points to · Shows the implementation catalog
- README → Patterns: points to · Shows the pattern catalog
- README → OOP: points to · Shows OOP learning material