Technical Knowledge Base

Welcome to My Technical Knowledge Base

This is a comprehensive digital garden covering software engineering, system design, and professional development. Think of it as an interconnected web of knowledge where concepts link together, forming learning paths and revealing connections across different domains.

Current Collection: 148 published articles · 18 drafts in progress · 10 domains

Last updated: 2025-11-17T16:35:03.385566Z

How to Navigate

This knowledge base is designed for exploration and deep learning:

• Browse by Domain: Each section below covers a major area of software engineering
• View All Articles: See a complete alphabetical list of all articles
• Follow Learning Paths: Structured sequences at the bottom guide you through related topics
• Follow Links: Articles use [[wiki-style links]] to connect related concepts
• Start Anywhere: Pick topics that interest you or address your current challenges

The content ranges from foundational concepts to advanced patterns, from theoretical computer science to practical tools. Whether you’re preparing for system design interviews, learning new architectural patterns, or exploring AI/LLM development, you’ll find structured knowledge paths to guide you.

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Content Domains

🏗️ Software Architecture

21 articles

Building software that stands the test of time requires understanding architectural patterns and principles. This section covers the foundational concepts that separate well-architected systems from tangled codebases.

Core Principles

Foundational design principles that guide architectural decisions

• SOLID Principles: Foundation for Clean Code
• Understanding CK Metrics
• Barbara Liskov’s Substitution Principle

Architectural Patterns

Proven patterns for structuring applications

• Clean Architecture: Building Maintainable Software Systems
• Software Architecture Concepts
• O 2023

Domain-Driven Design

Tactical and strategic patterns for modeling complex domains

• Core Domain vs Core Layer
• How to read Eric Evans’ DDD book
• DDD Repositories and DIP

…and 1 more - see complete list

Functional Programming

FP principles, paradigms, and their relationship to clean architecture

• Principles for FP A Structured Approach
• FP vs OO, or Why FP?
• Functional Programming: Principles and Practices

…and 3 more - see complete list

jMolecules Framework

Architecture enforcement through annotations

• jMolecules DDD
• jMolecules Hexagonal Architecture
• jMolecules Layered Architecture

Other

• Git layers as painging
• Using ScyllaDB with Quarkus: A Guide for Small Teams

🌐 System Design

46 articles · 11 drafts

Designing systems that scale, remain available, and handle failures gracefully is a core skill for software engineers. This comprehensive collection covers distributed systems theory, practical patterns, and interview preparation.

Distributed Systems Fundamentals

Martin Kleppmann’s lecture series covering the theoretical foundations

• 1.1 Distributed Systems Lecture - Intro
• 1.2 Computer Networking
• 1.3 Remote Procedure Call

…and 20 more - see complete list

CAP Theorem & Consistency

Understanding trade-offs in distributed systems

• Consistency in CAP Theorem: Ensuring Everyone Sees the Same Truth
• Availability in CAP Theorem: Always On, Always Responding
• Partition Tolerance in CAP Theorem: The Inevitable Necessity

…and 2 more - see complete list

Database Design

Selection guides, indexing strategies, and data modeling

• Choosing the Right Database
• Database Indexing
• Why Use DynamoDB for a Small Project?

…and 1 more - see complete list

System Design Katas

Practice problems and design exercises

• 4 additional system design katas
• Blurry to Sharp Technique
• System Design exercises - idealized scenarios

…and 1 more - see complete list

Mock Interviews

Real system design interview scenarios

• App store design
• Geohashing
• Designing a Parking Garage Reservation System

Interview Methodology

Frameworks and approaches for system design interviews

• System Design Interview Methodology - A Step-by-Step Framework
• General Lessons for System Design Interviews
• System Design Skill Ladder From 30-Kyu to Dan Mastery

…and 2 more - see complete list

Other

• Data Partitioning and Sharding - The Foundation of Scalable Systems
• System Design trade-offs

Drafts in Progress

• Controle de Concorrência em Transações com Zookeeper em Kubernetes (draft)
• Hybrid Event-Stream + On-Prem Aggregator (draft)
• Chargeback System Design Interview Retrospective (draft)
• Self-Analysis Chargeback System Design Exercise (draft)
• Chargeback Challenge - ChatGPT (draft)
• Chargeback Challenge - claude (draft)
• Chargeback Challenge - Deepseek (draft)
• Chargeback Challenge - Gemini (draft)
• Follow up Questions (draft)
• More follow up (draft)
• Ideal Chargeback Solution (draft)

💻 Coding

24 articles · 1 drafts

Practical programming knowledge spanning algorithms, design patterns, and language-specific implementations. Learn through examples and exercises.

Algorithms

Core algorithmic patterns and problem-solving techniques

• Bit Manipulation
• Tree Traversal
• Binary Search Patterns

…and 10 more - see complete list

Kotlin Development

Language features, testing practices, and design pattern implementations

• The Builder Pattern
• Design Patterns
• The Factory Method Pattern

…and 7 more - see complete list

Frontend

Web development patterns and state management

• Redux - The Evolution of Predictable State Management

Drafts in Progress

• OOP Design exercises (draft)

🤖 LLM

19 articles · 1 drafts

Large language models are transforming software development and AI applications. This section covers both theoretical foundations and practical implementation patterns.

Transformer Foundations

Understanding the architecture that powers modern LLMs

• Introduction to Transformers
• How LLM Predict the Next Token

Stanford CS25 Series

Academic deep-dive into transformers and language models

• 01 - CS25 Transformers United Series
• 02 - Introduction to Transformers
• 03 - Overview of Transformers

…and 4 more - see complete list

RAG & Embeddings

Retrieval-augmented generation and vector databases

• RAG, TdiffVectorizer, and Cosine Similarity
• RAG, Chunking, Embeddings and Vector Stores
• RAG as a tool for Code Navigation

…and 1 more - see complete list

Practical LLM Development

Tools, frameworks, and implementation patterns

• LangChain
• Agent-Based LLM Systems
• Prompt Engineering in an Unfamiliar Ground

…and 1 more - see complete list

MCP & Agents

Model Context Protocol and agent-based systems

• Github PR Agent

Other

• Why AI Agents Aren’t Taking Over the Web

Drafts in Progress

• Prompt Engineering in an Unfamiliar Ground (draft)

📈 Quantitative Trading

12 articles

Mathematical foundations and practical techniques for quantitative finance. From basic concepts to advanced portfolio optimization models.

Core Concepts

Fundamental financial mathematics

• Compound Interest: The Mathematical Foundation of Wealth Building
• CAGR: Compound Annual Growth Rate Explained
• Volatility: Understanding and Measuring Investment Risk

…and 1 more - see complete list

Portfolio Theory

Modern portfolio optimization techniques

• Harry Markowitz and Modern Portfolio Theory
• The Efficient Frontier: Optimizing Portfolio Risk and Return
• Portfolio Optimization: Advanced Techniques for Modern Investing

…and 1 more - see complete list

Advanced Models

CAPM, Black-Litterman, and behavioral finance

• Capital Asset Pricing Model (CAPM): Equilibrium Risk-Return Framework
• Black-Litterman Model: Advanced Portfolio Optimization with Market Equilibrium
• Behavioral Finance: Psychology Meets Quantitative Investment

Tools

Practical implementations and MCP servers

• MetaTrader Portfolio Optimizer: Quantitative Trading MCP Server

🛠️ Tools

13 articles

Productivity tools and development environment configurations that enhance the software development workflow.

Neovim/LunarVim

Editor configurations and plugin guides

• Avante AI Assistant
• Avante - Example
• Generating Git Commits Messages

…and 6 more - see complete list

Development Tools

CLI tools, automation, and productivity enhancers

• Automating Existing Browser Sessions on Windows with Playwright
• Interactive Command-Line Tools: Questionary and Clack

LibreChat

Custom LLM interfaces and code interpreters

• Implementing a Custom Code Interpreter for LibreChat using HuggingFace Spaces

Other

• Coffee Roasting Temperature Dashboard with Flipper Zero

👥 Soft Skills

3 articles · 2 drafts

Technical skills alone aren’t enough. These articles cover communication, leadership, and professional growth for software engineers.

Featured:

• Engineers and Business Decisions
• Continuous Improvement Reference Document

Drafts in Progress

• Continuous Improvement in Communication (draft)
• Daily Standups: Reporting Without Collaboration (draft)

⚙️ Devops

3 articles · 1 drafts

Infrastructure, deployment strategies, and operational practices for modern applications.

Featured:

• Deploying a Flask Application on AWS EC2 with Gunicorn and Nginx
• Portainer - Local networl Projects

Drafts in Progress

• Guide to AWS SNS (draft)

📊 Product

1 articles · 1 drafts

Product management concepts, requirements engineering, and the intersection of engineering with business needs.

Featured:

• Uses of Use Cases

Drafts in Progress

• OKR Misuse: Backlog and Blame (draft)

✨ Inspirational

6 articles · 1 drafts

Personal development, learning strategies, and wisdom for continuous growth in software engineering and life.

Featured:

• Discovering a Path of Growth - Reflections from Xianxia, Jung, and Mindfulness
• Stanford Negotiation
• Paul Graham Article Summaries

Drafts in Progress

• Epistemology (draft)

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Learning Paths

Clean Code & Architecture

1. Start with SOLID principles
2. Explore design patterns implementations
3. Study clean architecture patterns
4. Apply to DDD tactical patterns

System Design Mastery

1. Understand distributed systems fundamentals
2. Study consensus and fault tolerance
3. Explore database design and selection
4. Practice with system design katas

Modern AI/LLM Development

1. Learn transformers fundamentals
2. Understand RAG systems and embeddings
3. Study practical implementation patterns
4. Master prompt engineering techniques

Quantitative Finance & Trading

1. Learn compound interest and CAGR fundamentals
2. Understand Modern Portfolio Theory and the Efficient Frontier
3. Study risk metrics: Sharpe Ratio, Volatility, and Risk Parity
4. Explore advanced models: CAPM and Black-Litterman

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About This Knowledge Base

This site is built with Quartz 4.0 and uses Obsidian-style linking to create an interconnected web of knowledge. Articles are continuously updated and refined as I learn and explore new concepts.