Explore Software Engineering Foundations
The Blueprint
OOP and Design Patterns - the foundation of clean, maintainable software architecture.
- Explore Pattern Categories
- Explore OOP Concepts
Explore Pattern Categories
The Guardrails
SOLID, DRY, YAGNI, and Code Smells - principles that keep your code clean and maintainable.
- SOLID Principles
- DRY & YAGNI
- Code Smells
- Refactoring Patterns
SOLID Principles
The Engine
Algorithms, Data Structures, and Big-O complexity - the performance fundamentals.
- Algorithms
- Data Structures
- Big-O Complexity
- Time & Space Trade-offs
Algorithms
Data Structures
Software Engineering Playbooks
Practical, End-to-End implementation guides for building Production-ready Software. Each playbook includes working code, architecture diagrams, and step-by-step instructions.
Research Agent with Gateway
Build a production-ready AI research agent using Agent Gateway for unified traffic management, authentication, and observability across LLM providers.
RAG Pipeline with Vector Database
Implement a complete Retrieval-Augmented Generation pipeline with vector embeddings, semantic search, and context injection for accurate AI responses.
Multi-Agent Orchestration
Create a coordinated multi-agent system with specialized agents, task distribution, and result synthesis for complex problem-solving.
Pattern Sources
Our patterns are curated from industry-leading sources with proper attribution and licensing compliance.
Refactoring.Guru
Classic GoF design patterns, code smells catalog, and refactoring techniques (https://refactoring.guru).
Enterprise Integration Patterns
65 messaging patterns for integrating enterprise applications by Gregor Hohpe and Bobby Woolf (CC BY 4.0).
Microservices.io
Comprehensive patterns for microservice architectures by Chris Richardson.
Agent Catalog Patterns
Patterns for agentic systems from agentpatternscatalog.org (CC BY 4.0).
Industry Research
ML/AI patterns from Microsoft, Google, Anthropic, and academic research.
Data Engineering Leaders
Data platform patterns from Martin Fowler (Data Mesh), Kimball Group (Dimensional Modeling), and cloud providers.
MLOps Best Practices
Data science patterns from MLflow, Great Expectations, and MLOps practitioners.
Streaming & Analytics
Real-time patterns from Confluent/Kafka, Apache projects, and serverless analytics platforms.
Academic Papers
Rigorous ML patterns from peer-reviewed research including data leakage prevention and active learning.