When working on a new feature that’s not quite ready for production, it’s helpful to hide it without introducing a bunch of complexity or new dependencies.

Ruby provides many powerful methods for string manipulation, and among them, delete_suffix and delete_prefix are particularly useful when dealing with structured text. These methods allow you to remove a specified suffix or prefix from a string if it exists, providing a clean and efficient way to handle text processing.

When comparing Make and Zapier, both are powerful automation tools that connect various apps and automate workflows, but they cater to different needs and preferences, especially in terms of complexity, flexibility, and pricing.

When creating a Minimum Viable Product (MVP), choosing between a low-code platform and a custom solution built on something like Ruby on Rails can be challenging. Each approach has advantages and disadvantages that can significantly impact the project depending on the product’s needs and future potential. Below, we explore the key points of each approach based on a comparative analysis.

When it comes to choosing the best low-code or no-code tool for building your MVP (Minimum Viable Product), the decision really depends on your specific use case. The best approach is to map out the features you need and determine the “screens” your app is likely to have.

In Ruby on Rails, ActiveRecord simplifies working with databases, and where.not is a common way to filter out records based on a condition. However, in some cases, using excluding — introduced in Rails 7 — can be a better alternative. Here’s why.

Ruby is known for its flexibility and simplicity, allowing developers to work with different programming paradigms, such as procedural, object-oriented, and functional. Each of these styles has its strengths and can be applied in Ruby on Rails projects to solve specific problems elegantly. In this post, we’ll explore each paradigm with practical examples.

In the world of software engineering, building maintainable, scalable, and robust applications is a priority. Ruby on Rails, a popular framework, emphasizes conventions that simplify development, but this convenience can sometimes lead to tightly coupled code. Decoupling, the practice of reducing dependencies between different parts of your code, plays a vital role in improving orthogonality—a system’s ability to make changes in one part without impacting others. This blog post explores why decoupling is essential for achieving orthogonality in Ruby on Rails applications and how it benefits your codebase.

When writing Ruby code, one of the most common tasks is to handle potential nil values safely. Ruby provides a few ways to do this, and two approaches often come up: using the safe navigation operator(&.) and placing an explicit nil check first. In this post, we’ll compare both techniques and help you understand which one is best suited for your code.

Ever inherited a project with a database full of messy, inconsistent data? Maybe you’ve dealt with users submitting forms filled with errors or blank fields? That’s where active record validations come to the rescue, and trust me—they’re a must-have in every developer’s toolkit.

When adding a boolean column to a table in a Rails application, one common question is whether to set a default value for it. Let’s explore why this choice matters, the best practices around it, and how it impacts data handling. Using a real-world example, we’ll take a look at a migration adding a women_only column to a trips table.

Rails 8 has introduced many exciting features to streamline the development process, and one of the most significant is the default inclusion of Kamal 2. But what exactly is Kamal, and how does it simplify deployments? In this post, we’ll delve into this powerful deployment tool and explore its integration with Rails 8.

Rails provides several methods to update records, but one that stands out for its simplicity and efficiency is update_attribute.

Ruby on Rails 8 is shaping up to be one of the most exciting versions yet, introducing powerful features for both seasoned developers and those new to the framework. From supporting SQLite for production to native authentication and improved Progressive Web App (PWA) support, Rails 8 brings significant innovations to the table. Here’s a breakdown of some of the most impactful changes:

Ruby is known for its flexibility and powerful metaprogramming capabilities. One such method that often comes up in Ruby development, particularly in Ruby on Rails applications, is instance_exec. It allows developers to execute a block of code within the context of an object’s instance, making it extremely useful for dynamically executing code within objects without exposing unnecessary details or methods.

Turbo Streams provide a real-time, server-driven way to update Rails applications without complex JavaScript. One of the latest enhancements to Turbo Streams is the ability to use the method: :morph option in various actions, allowing more efficient DOM updates. This option can be used with actions like update, replace, and others, providing more control over how updates are applied.

In this post, we’ll explore some of the most useful core extensions in Rails that enhance how developers work with modules: delegate, concern, and the deprecated but still important alias_method_chain. These tools simplify method delegation, modularize code, and modify method behavior. While alias_method_chain is no longer in use, understanding its history is helpful for maintaining legacy code. We’ll break down how each of these methods works and why they’re valuable, especially when writing cleaner, more efficient Rails applications.

In the latest version of Ruby on Rails (Rails 8), developers have been given a handy new shortcut for adding a NOT NULL constraint to database columns. This small but powerful enhancement simplifies the process of generating migrations, making them cleaner and more intuitive.

Active Record Store is a powerful feature in Ruby on Rails that allows you to store structured data in a flexible way. Instead of creating separate tables for every piece of information, you can store data as a hash directly in your model. This is especially useful for scenarios where the structure of the data may change over time or is not strictly defined.

Ruby is a language that consistently evolves to make code more expressive, concise, and readable. With the release of Ruby 3.4, one of the exciting new features introduced is the use of it as a shortcut for the first parameter in a block. This enhancement aims to simplify code, especially in situations where blocks are used extensively, reducing the need to explicitly declare block parameters.

In Ruby on Rails, N+1 query problems occur when your application makes an excessive number of database queries due to how associations between models are loaded. This can lead to severe performance degradation, especially as your data scales.

Method parameters can be passed in different ways, allowing for flexible and readable code. Understanding the difference between positional arguments and keyword arguments is essential for writing clean and maintainable code.

Ruby is known for its elegant syntax and flexibility, which allows developers to create concise and readable code. One of the lesser-known but powerful tools in Ruby is Struct, a built-in class that provides a simple way to group related attributes without the overhead of defining a full class. While not as commonly used as ActiveRecord models or POROs (Plain Old Ruby Objects), Struct can be incredibly useful in Rails applications for certain scenarios.

When working with Ruby on Rails, managing how your application loads data from the database is crucial for performance optimization. Two common techniques used to handle this are lazy loading and eager loading. Understanding the differences between them and knowing when to use each can help improve both the speed and efficiency of your Rails application.

In object-oriented programming (OOP), adhering to principles that promote loose coupling and encapsulation is essential for building maintainable, scalable systems. One such principle is the Law of Demeter, also known as the Principle of Least Knowledge. This principle helps prevent objects from knowing too much about the internal workings of other objects, which is a common issue in OOP.