Continuous Integration and Its Role in Modern Software Development

As part of my work in CS-343: Software Construction, Design, and Architecture, I explored Martin Fowler’s article Continuous Integration: Improving Software Quality and Reducing Risk. The article explains how Continuous Integration (CI) has become a foundation of modern software development. I chose this topic because CI connects directly to what we learn in class about software design, testing, and teamwork, and I wanted to understand how professional engineers use it in real projects.

Why Continuous Integration Matters

Fowler defines CI as the practice of frequently merging small code changes into a shared repository, where each integration automatically triggers a build and a full suite of tests. This quick feedback loop helps developers detect and fix errors early, saving time and reducing costly bugs later. I found it interesting how CI transforms collaboration. Instead of waiting until the end of a sprint to integrate work, developers share updates several times a day, which keeps everyone aligned and encourages constant communication. This matches Agile values like transparency and adaptability.

How It Works in Real Projects

The article reminded me of how many real companies rely on CI tools such as GitHub Actions, Jenkins, or Travis CI. For example, open-source projects on GitHub often use automated pipelines that run tests every time someone submits a pull request. At larger companies like Netflix or Google, CI systems help maintain quality across thousands of code changes each day. These examples show that CI is not just a technical setup, it is a habit that promotes trust and shared responsibility among team members.

Challenges and Lessons Learned

Implementing CI is not always easy. Some teams struggle with broken builds, unreliable tests, or slow pipelines. Fowler points out that success depends on discipline and teamwork. Everyone must commit stable code, fix issues immediately, and write reliable automated tests. I learned that good communication is just as important as good tooling. Teams that treat CI as a shared value rather than a rule tend to build stronger collaboration and avoid finger-pointing when problems arise. Helpful resources such as the GitHub Actions Docs and Jenkins Website provide guidance for managing these challenges.

Key Takeaways

Continuous Integration stood out to me as more than just a process. It represents a mindset of accountability and openness. By integrating code regularly, teams reduce risks, deliver features faster, and maintain cleaner codebases. What I liked most about Fowler’s explanation was how he linked technical practices to human behavior, showing that consistency and trust are the real keys to quality software. Moving forward, I plan to apply these principles in my own projects by setting up automated builds and test workflows. CI will help me work more efficiently and confidently in any team environment.

From the blog CS@Worcester – Life of Chris by Christian Oboh and used with permission of the author. All other rights reserved by the author.

Software Frameworks and REST APIs: Building Scalable, Maintainable Systems

Hello everyone, and welcome to my blog entry for this quarter.

For this quarter’s self-directed professional development, I selected the article “What frameworks are commonly used by REST API developers?” by MoldStud (moldstud.com) which surveys popular frameworks for building REST APIs and outlines why they matter.
Because in our classes we’ve been learning about software architecture, design patterns, and object-oriented design, I wanted to explore how frameworks help bring those concepts into real projects, especially when implementing REST APIs.

Summary of the Article

The article begins by explaining that when developers build REST APIs, choosing the right framework is critical. It reviews several top frameworks, such as:

  • Express.js (for Node.js): praised for its simplicity, flexibility, and modular middleware system.
  • Spring Boot (Java) : known for its strong ecosystem (Spring Data, Spring Security, etc.) and ability to rapidly build production-ready REST APIs
  • Frameworks in Python such as Fast API and Flask which also permit building RESTful services with fewer boilerplate lines and good developer productivity

The article emphasizes that frameworks provide built-in features like routing, serialization, input validation, authentication/authorization, and documentation support, which means developers can focus more on business logic rather than boilerplate.
It also notes that frameworks differ in trade-offs (simplicity vs. features, performance vs. flexibility) so choosing depends on project size, team skill, performance expectations, and ecosystem.

Why I Selected This Resource

I chose this article because, in our coursework and my professional development (including my internship at The Hanover Insurance Group), I have seen frameworks play a key role in making software more maintainable and scalable. Given that we have covered design principles and object-oriented design, understanding how frameworks support those principles (and how REST APIs fit into that) felt like a natural extension of our learning. I wanted a resource that bridges theory (design, architecture) with practice (framework usage, API development), and this article did just that.

Personal Reflections: What I Learned and Connections to Class

Several thoughts stood out for me:

  • Frameworks help enforce design discipline. For example, while in class we’ve talked about abstraction, encapsulation, and modular design, using a framework like Spring Boot means that the structure (controllers, services, repositories) often mirrors those concepts. The separation of concerns is built in.
  • When building a REST API, using a framework means you benefit from standard patterns (e.g., routing endpoints, serializing objects, handling errors) so you can spend more time thinking about how your code relates to design principles, not reinventing infrastructure.
  • I’ve seen in projects (including my internship) how choosing a framework that aligns with the team’s language, domain, and architecture reduces friction. For instance, if you need to scale to many services, choose a framework that supports microservices or lightweight deployments. The article’s discussion about trade-offs reminded me of that.
  • One connection to our class: We’ve drawn UML diagrams to model systems, show how classes relate, and plan modules. Framework usage is like the next step: once the design is set, frameworks implement those modules, enforce contracts, and provide the infrastructure. In particular, when those modules expose REST APIs, the design decisions we make (interface boundaries, class responsibilities) reflect directly in how endpoints are designed.
  • It also made me reflect on how REST APIs themselves are more than just endpoints, they represent system architecture, and frameworks help in realizing that architecture. For example, using a framework that supports versioning, middleware, and layered architecture helps make the API maintainable as it evolves.

Application to Future Practice

Going forward, I plan to apply these lessons in both academic and professional work:

  • When building a project (in class or internship) that uses REST APIs, I’ll choose a framework early in the design phase and consider how the framework’s structure maps to my design model (classes, modules, responsibilities).
  • I’ll evaluate trade-offs consciously: If I need speed and simplicity, maybe a lightweight framework; if I need enterprise features (security, data access, microservices), maybe a full-featured one like Spring Boot.
  • I’ll use the framework’s features (routing, validation, middleware) to enforce design principles like modularity, readability, and maintainability rather than writing everything by hand.
  • From the API perspective, I’ll ensure that endpoint design aligns with our design models: models reflecting resources, controllers respecting single responsibility, services encapsulating business logic, all supported by the framework.
  • Finally, I’ll treat the framework as part of the architecture, not just a tool, meaning I’ll reflect on how framework conventions influence design decisions, and how my design decisions influence framework usage.

Citation / Link
Crudu, Vasile & MoldStud Research Team. “What frameworks are commonly used by REST API developers?” MoldStud, October 30 2024. Available online: https://moldstud.com/articles/p-what-frameworks-are-commonly-used-by-rest-api-developers

From the blog Rick’s Software Journal by RickDjouwe1 and used with permission of the author. All other rights reserved by the author.

Code Reviews: Writing Better Software Through Collaboration and Feedback

Hello everyone, and welcome to my third blog entry of the semester!

For this week’s self-directed professional development, I read the article “Best Practices for Peer Code Review” from SmartBear Software (smartbear.com). This article provides practical guidelines and research-backed insights on how to conduct effective code reviews in a professional setting. Reading it gave me a new appreciation for how structured review processes can transform not only the quality of code but also team communication and learning.

Summary of the Article

The article begins by explaining that code review is one of the most powerful tools for improving software quality. It cites studies showing that even small, well-structured reviews can significantly reduce bugs and improve maintainability.

Some key practices stood out to me:

  • Keep reviews small: Review no more than 400 lines of code at a time.
  • Limit review sessions: Spend no more than 60 minutes per review to stay focused.
  • Encourage collaboration: Authors should add comments and explanations to help reviewers understand their changes.
  • Focus on learning, not blame: Code review is most effective when it fosters shared ownership and continuous improvement.

The article also introduces metrics like inspection rate and defect rate, which can be used to measure how effective a review process is. Overall, the main message is that a good review culture combines process discipline with respect, clarity, and open communication.

Why I Selected This Resource

I chose this article because it connects directly to my real-world experience at The Hanover Insurance Group, where I worked as a PL Automation Developer intern. During my time there, code reviews were a core part of our workflow. Every piece of automation code had to go through review before deployment. I noticed that following consistent guidelines, like those mentioned in the SmartBear article, made a huge difference in maintaining quality and avoiding errors.

Since we’ve been focusing on software design and collaboration in class, this article helped me bridge what I’ve learned in theory with what professionals practice daily.

Personal Reflections: What I Learned and Connections to Class

Reading this article helped me connect classroom concepts like clean design, modularity, and readability with the real-world practice of peer review. At Hanover, I experienced firsthand how detailed feedback from senior developers helped me understand why small changes, like naming conventions or modularizing functions, mattered in the long run.

This article reminded me that code review isn’t just about technical correctness, it’s also about communication. Explaining your decisions helps others understand your design thinking, just like how UML diagrams or documentation clarify structure in class projects.

Application to Future Practice

Going forward, I plan to adopt SmartBear’s recommendations in both academic and professional work. I’ll keep my commits small, make my code clear and documented before review, and always focus on learning from feedback rather than defending my work. I’ve learned that humility and collaboration are just as essential to great software as technical skill.

Citation / Link
SmartBear Software. “Best Practices for Peer Code Review.” SmartBear, 2024. Available online: https://smartbear.com/learn/code-review/best-practices-for-peer-code-review/

From the blog CS@Worcester – Rick’s Software Journal by RickDjouwe1 and used with permission of the author. All other rights reserved by the author.

Software Frameworks: an Introduction

For this post I listened to the Sourcetoad podcast called, Leveraging Frameworks for Your Software Development Project. This podcast features three software developers who work for Sourcetoad, a software consulting and development firm, by which they discuss software frameworks. https://www.youtube.com/watch?v=ik4d2Jf7Rik&t=1539s

To begin with frameworks we must define what exactly is a framework. A framework is collections of pre-built code that builds the blueprint of the app; furthermore, without need to write the code yourself. Frameworks are tremendously useful because with any coding application, you are trying to help solve a problem. To initiate any project, there are these kinds of “price of entry” such as login, authentication, security, database, and server to name a few. With these examples, the framework gives you these things right off the bat, pre-built modules, which allows you to start faster on the solution.

Now the best part about frameworks is that the vast majority are free. Free being that the code is open source; software made by the software community for the software community. Anyone can view, edit, and modify the software. 

Now what would be an instance you would not want to utilize a framework. Say for instance you have a simple application that utilizes a framework, but while you run the code you notice it is rendering slower than expected. This is because with any kind of framework you are getting a lot of pre-built code, which you might not utilize which will slow down the rendering time. Wonderfully put in the podcast, “the great thing about a framework you get a lot of stuff, but you also get a lot of stuff.”  

With frameworks you can build on top of them and one popular method of doing this is by using a CMS: Content Management System (frontend and backend). A CMS enables users to manage the content on a website themselves, without needing to know how to code; gives non technical people the ability to make changes on the website instantly. A con of this is that it is vendor locked in, meaning it cannot transition easily. 

There is also a headless CMS. This is responsible for editing and storing of the content, but is not responsible for how the content is presented visually; it has no frontend, only backend. Some pros of a headless CMS is that it’s an easier content manager, gives developers more freedom to develop code at scale and also, content can be created once and published everywhere.

Overall, I’ve heard the word “framework” get tossed around in the computer science world, but never truly did have a grasp on what it really was. From listening to this podcast, I feel great about what it is and eager to start a project using a framework and even more so exploring the world of CMS and headless CMS, once I feel comfortable with frameworks.

From the blog CS@Worcester – Programming with Santiago by Santiago Donadio and used with permission of the author. All other rights reserved by the author.

A look at Refactoring

 Hello! For my second quarter blog, I read a separate blog written by Yung Han Jeong, titled “Spaghetti Deconstructed: Lessons from my first refactoring“. As its name suggests, this blog talks about Yung’s personal experiences and advice pertaining to refactoring. For those who don’t know, refactoring is essentially improving existing code in a way that doesn’t affect it’s functionality. This can be as simple as changing variable names, all the way to completely restructuring the program. In our class this semester, for a very large portion of what we will be doing, refactoring is an integral part of it. I would say at this point I am pretty comfortable with the topic, however I figured that I would like some sort of anecdotal, first-hand account of someone’s actual experiences with it, as everything we have been doing has been in a classroom setting. 

Yung’s blog recounts her experiences in refactoring some of her earliest code written when she was an entry-level developer, namely in her horror at how bad it used to be. It got her thinking about what she could have done to improve her code, which inspired her to blog about the biggest changes she thinks would make the difference (she provides four examples which she calls “pasta”, “sauce”, “meatballs”, and “cheese”, I don’t think I need to explain that). Firstly (pasta), she talks about the importance of having descriptive variable names. She argues that while it is enticing to have simple variable names that you might not see the need to go into detail about as you are familiar with the code, it is always worth the extra effort to either make them more descriptive, or to comment an explanation about all of them (or both!). Next (sauce), she hammers in the importance of commenting out the entirety of your code. It’s something all cs students have been pestered about endlessly, but it is one of the single most important things you can do to improve your code, being able to quickly understand what a method/class/etc. does saves so much time in the long run, outweighing the extra time you spend writing the comment. Her third point (meatballs) ties into this in that she recommends keeping most if not all debugging statements. She argues that once they served their purpose, they can simply be commented out and referenced in the future. Lastly (cheese), she emphasizes the importance of revisiting code “soon and often”. 

Admittedly, the advice Yung gives is pretty rudimentary. When I found this blog I thought it would talk about refactoring in the way we have in class, where we focus more on the structure side of things. However, reading this made me realize that this is very much refactoring as well. Sometimes the best thing you can do with your code is improve on the simple things, like naming schemes and comments, something Yung, an actual software dev, seems to find important enough to write a blog about. I am happy I found this blog; while I didn’t exactly learn anything ground-breaking, I realized that when refactoring, sometimes improving on the simple things is the best course of action to take. 

From the blog Joshua's Blog by Joshua D. and used with permission of the author. All other rights reserved by the author.

A look at Refactoring

 Hello! For my second quarter blog, I read a separate blog written by Yung Han Jeong, titled “Spaghetti Deconstructed: Lessons from my first refactoring“. As its name suggests, this blog talks about Yung’s personal experiences and advice pertaining to refactoring. For those who don’t know, refactoring is essentially improving existing code in a way that doesn’t affect it’s functionality. This can be as simple as changing variable names, all the way to completely restructuring the program. In our class this semester, for a very large portion of what we will be doing, refactoring is an integral part of it. I would say at this point I am pretty comfortable with the topic, however I figured that I would like some sort of anecdotal, first-hand account of someone’s actual experiences with it, as everything we have been doing has been in a classroom setting. 

Yung’s blog recounts her experiences in refactoring some of her earliest code written when she was an entry-level developer, namely in her horror at how bad it used to be. It got her thinking about what she could have done to improve her code, which inspired her to blog about the biggest changes she thinks would make the difference (she provides four examples which she calls “pasta”, “sauce”, “meatballs”, and “cheese”, I don’t think I need to explain that). Firstly (pasta), she talks about the importance of having descriptive variable names. She argues that while it is enticing to have simple variable names that you might not see the need to go into detail about as you are familiar with the code, it is always worth the extra effort to either make them more descriptive, or to comment an explanation about all of them (or both!). Next (sauce), she hammers in the importance of commenting out the entirety of your code. It’s something all cs students have been pestered about endlessly, but it is one of the single most important things you can do to improve your code, being able to quickly understand what a method/class/etc. does saves so much time in the long run, outweighing the extra time you spend writing the comment. Her third point (meatballs) ties into this in that she recommends keeping most if not all debugging statements. She argues that once they served their purpose, they can simply be commented out and referenced in the future. Lastly (cheese), she emphasizes the importance of revisiting code “soon and often”. 

Admittedly, the advice Yung gives is pretty rudimentary. When I found this blog I thought it would talk about refactoring in the way we have in class, where we focus more on the structure side of things. However, reading this made me realize that this is very much refactoring as well. Sometimes the best thing you can do with your code is improve on the simple things, like naming schemes and comments, something Yung, an actual software dev, seems to find important enough to write a blog about. I am happy I found this blog; while I didn’t exactly learn anything ground-breaking, I realized that when refactoring, sometimes improving on the simple things is the best course of action to take. 

From the blog Joshua's Blog by Joshua D. and used with permission of the author. All other rights reserved by the author.

A look at Refactoring

 Hello! For my second quarter blog, I read a separate blog written by Yung Han Jeong, titled “Spaghetti Deconstructed: Lessons from my first refactoring“. As its name suggests, this blog talks about Yung’s personal experiences and advice pertaining to refactoring. For those who don’t know, refactoring is essentially improving existing code in a way that doesn’t affect it’s functionality. This can be as simple as changing variable names, all the way to completely restructuring the program. In our class this semester, for a very large portion of what we will be doing, refactoring is an integral part of it. I would say at this point I am pretty comfortable with the topic, however I figured that I would like some sort of anecdotal, first-hand account of someone’s actual experiences with it, as everything we have been doing has been in a classroom setting. 

Yung’s blog recounts her experiences in refactoring some of her earliest code written when she was an entry-level developer, namely in her horror at how bad it used to be. It got her thinking about what she could have done to improve her code, which inspired her to blog about the biggest changes she thinks would make the difference (she provides four examples which she calls “pasta”, “sauce”, “meatballs”, and “cheese”, I don’t think I need to explain that). Firstly (pasta), she talks about the importance of having descriptive variable names. She argues that while it is enticing to have simple variable names that you might not see the need to go into detail about as you are familiar with the code, it is always worth the extra effort to either make them more descriptive, or to comment an explanation about all of them (or both!). Next (sauce), she hammers in the importance of commenting out the entirety of your code. It’s something all cs students have been pestered about endlessly, but it is one of the single most important things you can do to improve your code, being able to quickly understand what a method/class/etc. does saves so much time in the long run, outweighing the extra time you spend writing the comment. Her third point (meatballs) ties into this in that she recommends keeping most if not all debugging statements. She argues that once they served their purpose, they can simply be commented out and referenced in the future. Lastly (cheese), she emphasizes the importance of revisiting code “soon and often”. 

Admittedly, the advice Yung gives is pretty rudimentary. When I found this blog I thought it would talk about refactoring in the way we have in class, where we focus more on the structure side of things. However, reading this made me realize that this is very much refactoring as well. Sometimes the best thing you can do with your code is improve on the simple things, like naming schemes and comments, something Yung, an actual software dev, seems to find important enough to write a blog about. I am happy I found this blog; while I didn’t exactly learn anything ground-breaking, I realized that when refactoring, sometimes improving on the simple things is the best course of action to take. 

From the blog Joshua's Blog by Joshua D. and used with permission of the author. All other rights reserved by the author.

A look at Refactoring

 Hello! For my second quarter blog, I read a separate blog written by Yung Han Jeong, titled “Spaghetti Deconstructed: Lessons from my first refactoring“. As its name suggests, this blog talks about Yung’s personal experiences and advice pertaining to refactoring. For those who don’t know, refactoring is essentially improving existing code in a way that doesn’t affect it’s functionality. This can be as simple as changing variable names, all the way to completely restructuring the program. In our class this semester, for a very large portion of what we will be doing, refactoring is an integral part of it. I would say at this point I am pretty comfortable with the topic, however I figured that I would like some sort of anecdotal, first-hand account of someone’s actual experiences with it, as everything we have been doing has been in a classroom setting. 

Yung’s blog recounts her experiences in refactoring some of her earliest code written when she was an entry-level developer, namely in her horror at how bad it used to be. It got her thinking about what she could have done to improve her code, which inspired her to blog about the biggest changes she thinks would make the difference (she provides four examples which she calls “pasta”, “sauce”, “meatballs”, and “cheese”, I don’t think I need to explain that). Firstly (pasta), she talks about the importance of having descriptive variable names. She argues that while it is enticing to have simple variable names that you might not see the need to go into detail about as you are familiar with the code, it is always worth the extra effort to either make them more descriptive, or to comment an explanation about all of them (or both!). Next (sauce), she hammers in the importance of commenting out the entirety of your code. It’s something all cs students have been pestered about endlessly, but it is one of the single most important things you can do to improve your code, being able to quickly understand what a method/class/etc. does saves so much time in the long run, outweighing the extra time you spend writing the comment. Her third point (meatballs) ties into this in that she recommends keeping most if not all debugging statements. She argues that once they served their purpose, they can simply be commented out and referenced in the future. Lastly (cheese), she emphasizes the importance of revisiting code “soon and often”. 

Admittedly, the advice Yung gives is pretty rudimentary. When I found this blog I thought it would talk about refactoring in the way we have in class, where we focus more on the structure side of things. However, reading this made me realize that this is very much refactoring as well. Sometimes the best thing you can do with your code is improve on the simple things, like naming schemes and comments, something Yung, an actual software dev, seems to find important enough to write a blog about. I am happy I found this blog; while I didn’t exactly learn anything ground-breaking, I realized that when refactoring, sometimes improving on the simple things is the best course of action to take. 

From the blog Joshua's Blog by Joshua D. and used with permission of the author. All other rights reserved by the author.

A look at Refactoring

 Hello! For my second quarter blog, I read a separate blog written by Yung Han Jeong, titled “Spaghetti Deconstructed: Lessons from my first refactoring“. As its name suggests, this blog talks about Yung’s personal experiences and advice pertaining to refactoring. For those who don’t know, refactoring is essentially improving existing code in a way that doesn’t affect it’s functionality. This can be as simple as changing variable names, all the way to completely restructuring the program. In our class this semester, for a very large portion of what we will be doing, refactoring is an integral part of it. I would say at this point I am pretty comfortable with the topic, however I figured that I would like some sort of anecdotal, first-hand account of someone’s actual experiences with it, as everything we have been doing has been in a classroom setting. 

Yung’s blog recounts her experiences in refactoring some of her earliest code written when she was an entry-level developer, namely in her horror at how bad it used to be. It got her thinking about what she could have done to improve her code, which inspired her to blog about the biggest changes she thinks would make the difference (she provides four examples which she calls “pasta”, “sauce”, “meatballs”, and “cheese”, I don’t think I need to explain that). Firstly (pasta), she talks about the importance of having descriptive variable names. She argues that while it is enticing to have simple variable names that you might not see the need to go into detail about as you are familiar with the code, it is always worth the extra effort to either make them more descriptive, or to comment an explanation about all of them (or both!). Next (sauce), she hammers in the importance of commenting out the entirety of your code. It’s something all cs students have been pestered about endlessly, but it is one of the single most important things you can do to improve your code, being able to quickly understand what a method/class/etc. does saves so much time in the long run, outweighing the extra time you spend writing the comment. Her third point (meatballs) ties into this in that she recommends keeping most if not all debugging statements. She argues that once they served their purpose, they can simply be commented out and referenced in the future. Lastly (cheese), she emphasizes the importance of revisiting code “soon and often”. 

Admittedly, the advice Yung gives is pretty rudimentary. When I found this blog I thought it would talk about refactoring in the way we have in class, where we focus more on the structure side of things. However, reading this made me realize that this is very much refactoring as well. Sometimes the best thing you can do with your code is improve on the simple things, like naming schemes and comments, something Yung, an actual software dev, seems to find important enough to write a blog about. I am happy I found this blog; while I didn’t exactly learn anything ground-breaking, I realized that when refactoring, sometimes improving on the simple things is the best course of action to take. 

From the blog Joshua's Blog by Joshua D. and used with permission of the author. All other rights reserved by the author.

A look at Refactoring

 Hello! For my second quarter blog, I read a separate blog written by Yung Han Jeong, titled “Spaghetti Deconstructed: Lessons from my first refactoring“. As its name suggests, this blog talks about Yung’s personal experiences and advice pertaining to refactoring. For those who don’t know, refactoring is essentially improving existing code in a way that doesn’t affect it’s functionality. This can be as simple as changing variable names, all the way to completely restructuring the program. In our class this semester, for a very large portion of what we will be doing, refactoring is an integral part of it. I would say at this point I am pretty comfortable with the topic, however I figured that I would like some sort of anecdotal, first-hand account of someone’s actual experiences with it, as everything we have been doing has been in a classroom setting. 

Yung’s blog recounts her experiences in refactoring some of her earliest code written when she was an entry-level developer, namely in her horror at how bad it used to be. It got her thinking about what she could have done to improve her code, which inspired her to blog about the biggest changes she thinks would make the difference (she provides four examples which she calls “pasta”, “sauce”, “meatballs”, and “cheese”, I don’t think I need to explain that). Firstly (pasta), she talks about the importance of having descriptive variable names. She argues that while it is enticing to have simple variable names that you might not see the need to go into detail about as you are familiar with the code, it is always worth the extra effort to either make them more descriptive, or to comment an explanation about all of them (or both!). Next (sauce), she hammers in the importance of commenting out the entirety of your code. It’s something all cs students have been pestered about endlessly, but it is one of the single most important things you can do to improve your code, being able to quickly understand what a method/class/etc. does saves so much time in the long run, outweighing the extra time you spend writing the comment. Her third point (meatballs) ties into this in that she recommends keeping most if not all debugging statements. She argues that once they served their purpose, they can simply be commented out and referenced in the future. Lastly (cheese), she emphasizes the importance of revisiting code “soon and often”. 

Admittedly, the advice Yung gives is pretty rudimentary. When I found this blog I thought it would talk about refactoring in the way we have in class, where we focus more on the structure side of things. However, reading this made me realize that this is very much refactoring as well. Sometimes the best thing you can do with your code is improve on the simple things, like naming schemes and comments, something Yung, an actual software dev, seems to find important enough to write a blog about. I am happy I found this blog; while I didn’t exactly learn anything ground-breaking, I realized that when refactoring, sometimes improving on the simple things is the best course of action to take. 

From the blog Joshua's Blog by Joshua D. and used with permission of the author. All other rights reserved by the author.