Breaking the Monolith (Rails + ReactJS)

In the evolution of Ruby on Rails monoliths with embedded React views, complexity often grows in hidden layers. Models leak across layers, JavaScript bundles bloat, and teams struggle with test sprawl and unclear boundaries. But there’s a middle ground between monolith chaos and full microservices.

By modularizing Rails backends into Engines and separating React logic into distinct, domain-scoped bundles, teams can gain clarity, testability, and long-term scalability; all while keeping the development speed of a monolith.

Model Context Protocol Servers and AI… What???

Model Context Protocol (MCP) servers are reshaping how AI systems interact with the world. Think of them as standardized “ports” that let AI tools securely and intelligently plug into other systems, whether it’s file storage, databases, productivity tools, or developer environments. As the AI ecosystem matures, these servers are becoming critical infrastructure, quietly powering some of the most advanced capabilities in tools like Claude, Copilot, and Replit’s Ghostwriter.

This post digs into the Model Context Protocol (MCP), how servers implement it, why it’s becoming the USB‑C of AI, and what it means for developers building the next generation of intelligent apps.

The Testing Pyramid: What to Test, Where, and Why It Matters

The Testing Pyramid is a widely adopted strategy that helps teams design scalable, reliable, and maintainable test suites. As systems grow in complexity, so does the need for clear testing boundaries. The pyramid has evolved to include not just unit and end-to-end tests, but also component, functional, integration, and contract tests.

This post breaks down each layer, explains how it fits into a modern development workflow, and uses a car manufacturing analogy to make it all easier to understand.

Kubernetes for Production: What You Need to Know to Get Started

Kubernetes has become the industry-standard platform for deploying and managing containerized applications. Its popularity is well-earned, offering capabilities like self-healing, automated scaling, and zero-downtime deployments. But many developers hit a wall when moving from sandbox environments to real-world production setups. This post aims to simplify that jump by breaking down what Kubernetes is, how to use it, and the essential hardware and configuration needed for a reliable production deployment.

Everything Coming in iOS 26: Apple’s Boldest Update in a Decade

Apple’s iOS 26, unveiled at WWDC 2025, marks the most significant overhaul to the iPhone experience since iOS 7. From the visually stunning “Liquid Glass” design to the integration of advanced AI features under the banner of Apple Intelligence, this update redefines user interaction. With enhancements across core apps, new functionalities, and a focus on personalization and privacy, iOS 26 sets a new standard for mobile operating systems.

RAID: Why Everyone Should Care?

RAID, or Redundant Array of Independent Disks, is a core technology that powers everything from personal NAS drives to enterprise-grade data centers. It enables you to combine multiple physical hard drives into a single system that improves performance, enhances data redundancy, or balances both. This blog post breaks down what RAID is, how the most common RAID levels work, and what their strengths and trade-offs are. Whether you are setting up your first home server or architecting high-availability infrastructure, understanding RAID is essential.

Takeaways on ChatGPT Codex

This article explores how software developers can integrate ChatGPT Codex into their development workflows, from initial code generation to pull request creation. Codex is OpenAI’s code-focused large language model, capable of reading and writing code, generating test cases, and interacting with GitHub repositories. We explain how to get the most out of Codex by combining it with unit tests and test-driven development (TDD), ensuring reliable and verifiable results. Drawing on real-world advice from Simon Willison, we emphasize why automated testing is not just a complement but a critical enabler of safe and effective AI-assisted software engineering.

Beyond the Buzzwords: What Is Machine Learning, Really?

Machine learning is transforming industries, but at its core, it remains a field built on mathematics, logic, and structured data modeling. This article walks through the foundational principles of machine learning, stripping away the modern layers of abstraction to focus on its original essence. No libraries, no black boxes, just math and reasoning. Whether you’re a beginner with a math background or a curious technologist aiming to understand what actually powers intelligent systems, this is a ground-up journey into how machines learn.

Non-Relational Databases and the Design Dilemma: Single Table or Multi Table?

Non-relational databases have changed how developers think about data modeling. Among them, Amazon DynamoDB stands out for its speed, scalability, and serverless simplicity. This post explores the core ideas behind non-relational databases, explains the philosophies and tradeoffs of single-table versus multi-table designs in DynamoDB, and offers clear conventions and examples to guide implementation.

From Idea to App: Going Serverless with AWS

Startups and solo developers are often faced with the same challenge: how to build robust, scalable systems without draining their limited resources. Traditional cloud services offer power, but can be overkill — both in terms of complexity and cost. This is where serverless technology shines. In this post, we’ll look at how combining the Serverless Framework, AWS Lambda, and DynamoDB creates a lean, efficient stack. We’ll also examine why Aurora Serverless (particularly v2) may not be the best fit for budget-conscious builders, and when a cheap VPS still makes sense for relational workloads.