Category Archives: CS@Worcester

Blog Post 1

https://github.blog/engineering/engineering-principles/how-we-use-github-to-be-more-productive-collaborative-and-secure/

Since we’ve been going over GitHub and how and why we use it in class, I decided to pick an article right from the source. In the blogpost How we use GitHub to be more productive, collaborative, and secure, Mike Hanley describes how the staff at GitHub use GitHub themselves as well as how they’ve made new additions with developers in mind. A neat thing I thought as developers themselves working on GitHub I’m sure they thought “wouldn’t it be nice if…” then realizing “oh wait we can just add that”. One of those features that the blog mentions is the “new code search and code view”, which allows for a more quick and easy way to sift through multiple lines of code.

Another point in the blog was about productivity and under that Codespaces. As we had used Codespaces during the GitKit Chapters, it felt well integrated, so I was pretty surprised to find out that it was something that they had only recently implemented and started using (they started using Codespaces in 2021 and the article was written in 2022). Based on the article, this allowed what once took 45 minutes on local hardware to 60 seconds on much faster hardware then most would have on hand. This alone struck me as a sort of equalizer, allowing for more inclusivity in the fact that you don’t need to spend a lot of money on hardware to be on the same “playing field” as other developers.

The last main point in the blog goes into GitHub’s stance on security, which I guess isn’t to surprising as Mike Hanley’s current role in GitHub as well as his previous role was being in charge of security. Anyways, too often is cybersecurity put on the backburner until an inevitable data breach occurs, then it’s all “we value our customers security and privacy” and “security is our number one priority”. Mr. Hanley also seems to see things the same way, as he mentions how they were “still pleading with organizations to implement multi-factor authentication…”, something I consider to be pretty bare-minimum in terms of keeping ones accounts safe. Due to this stance on security I was glad to see that GitHub actually enforces multi-factor authentication with security keys. Another method of keeping things secure is their use of CodeQL. According to the article, in the same open-source spirit that GitHub was founded with, CodeQL queries are also open-source where either GitHub or other developers can share vulnerability patterns. This allows for not just “one set of eyes” to pinpoint possible exploits but instead the entire community.

Reading this article has given me a better sense of how the tools and practices we’re learning now actually look in a professional environment. On top of that seeing GitHub’s own team use features like code search, Codespaces, and built-in security tools shows how even though it feels like we’re leagues apart we’re still on even footing.

From the blog CS@Worcester – CS Notes Blog by bluu1 and used with permission of the author. All other rights reserved by the author.

Why My Homework on Forking and Pull Requests is Actually Career Prep

For the past few weeks in my Software Process Management class, we’ve been deep in the Runestone GitKit modules. At first, it felt like we were just going through the motions: fork a repo, create a branch, make a commit, open a pull request. It was a bit mechanical. But once we got to the later modules on syncing with an upstream repository and dealing with merge conflicts, the bigger picture started to click. I realized I was learning a real-world workflow, not just homework exercises. To get a better understanding of why this process is so important, I spent time on the Atlassian “Source Code Management” tutorials. I wanted to see how the steps from our class connected to the way professional developers actually work.

The Atlassian resource was the perfect companion to our GitKit labs. It framed everything we were doing in terms of a “Forking Workflow,” which is massively used in open-source projects and many companies. It explained that forking isn’t just a step; it’s a collaboration model. It gives you your own server-side copy (your “origin”) to experiment freely without threatening the stability of the main project (the “upstream”). This directly clarified the purpose of the two remote repositories we set up in GitKit. The tutorials also gave a crystal-clear explanation of pull requests, describing them not just as a way to merge code, but as a formal mechanism for discussion, code review, and ensuring quality before changes are integrated.

This connection between class and the professional world was a huge lightbulb moment for me. In Module 3, we learned the mechanics of git branch, git push origin feature-branch, and creating a PR. Atlassian explained the why: this process isolates your work, keeps the main branch stable, and makes every change transparent and reviewable. The steps we practiced for syncing with upstream in Module 4—git fetch upstream and merging changes—are exactly how real developers keep their feature branches up-to-date and avoid nasty merge conflicts. Even the .gitignore file, which we learned about, is a professional standard for keeping junk files out of the shared codebase.

Understanding this workflow is no longer just about passing the class; it feels like essential career prep. When I look at internship job descriptions, “experience with Git and GitHub” is a given. Now I know that means more than just making commits. It means understanding how to collaborate using forks, branches, and pull requests. It means knowing how to resolve a merge conflict gracefully instead of panicking. The hands-on practice from GitKit, combined with the conceptual framework from the Atlassian tutorials, has given me the confidence to say I understand a standard professional development workflow. I’m not just memorizing commands for an exam; I’m building a foundational skill I’ll use every day in my future career.

Resource Link: Atlassian Git Tutorials – Source Code Management

From the blog CS@Worcester – DoaaTime by Doaa Mutar and used with permission of the author. All other rights reserved by the author.

Quarter 1 Blog Post for CS-348

My chosen article for this blog post is this article from the National Institutes of Health.
https://pmc.ncbi.nlm.nih.gov/articles/PMC4945047/

While at face value an article from the NIH might seem completely off topic from our class and what we’re learning currently, this article is actually all about Github. The article is centered around the Bioinformatics industry, and how a big problem with it has always been sorting, storing and accessing biological data and information credibly and easily. The introduction of the article gives a solid run down of what Github is and its relation to Git, while the meat of the article surrounds 10 “rules” to follow while using Github.

I chose this article for my first blog post of the semester because it seemed ironically fitting for the current topic of Git in our class for being an article published by the NIH. But I also chose it because it heavily relates to our sort of beginners guided usage of Git and Github that we’ve been doing. The rules given by the article all seem like really helpful guidelines for anyone new to Github like I am. I’ve always wanted to use it for personal projects and such but it’s always seemed like a daunting platform. Granted our class has torn down a large portion of the wall getting in my way from using Github personally but I do also really like these guidelines given by the article. For example, their rule 1, using Github to track your projects progress and changes make to the project, that taking advantage of its own system for doing so is a massive help from tracking progress on ones own, especially when working with a whole team of people on one project.

Out of all these rules though, I really do think rule 5 and 7 are the ones I reflect on most, I’ll admit I’m sometimes lazy and sometimes forgetful. Sometimes I do skip a test on a project. But that’s where I realize I can use that to my advantage with rule 5 of this article. It talks about using Github’s web hooks to test your code, find bugs and detect logic errors every time you push your code. Personally I don’t think it’s advantage I would pass up and don’t want to pass up in the future of using Github for class and myself.

As for rule 7, I know it seems silly but I don’t really like to discuss or bring up problems or issues I have with my projects that I’m working on. It’s always seemed like such a hassle, and whenever I did discuss the issues I’m having, its usually over discord to multiple people at once making responses to each person a mess of trying to keep up and take everything into consideration. So genuinely I do think the issues section of a project will become a very powerful tool for me. It didn’t really hit me in class because actively trying to use it as someone identifying and fixing problems for a project that wasn’t my own felt discouraging, not sure why, but I didn’t really think about from the project lead perspective. I do think a tab dedicated to finding, analyzing and fixing issues will be extremely helpful to me.

From the blog CS@Worcester – Splaine CS Blog by Brady Splaine and used with permission of the author. All other rights reserved by the author.

Behavioral Design Patterns

Design patterns provide many benefits when it comes to coding and software development. They are essentially blueprints to help guide and solve problems through the process of designing software. While there are three types of design patterns, the one I will be focusing on here is behavioral patterns. Behavioral design patterns mostly focus on the assignment of responsibilities between objects and help with communications between those objects.

There are many different types of behavioral design patterns. Some of these patterns include:

Chain pf Responsibility
Command
Interpreter
Mediator
Memento
Observer
State
Strategy
Template Method
Visitor

All of these of different uses along with different pros and cons. For example, command patterns turns request into stand-alone objects called a command. This pattern allows you to capture each component of a request allowing the undo and redo of operations. However, this may cause overcomplications of code because of the layer between senders and receivers. Design patterns are easily customizable to help you approach any problem and provide solutions to many problems you may be having within development.

We’ve begun to touch on design patterns within class using UML diagrams and showing different ways to solve problems. We used the example of a duck class and different types of ducks. More duck types were added that were unusual types of ducks that had different behavior types. We used a couple different methods to help make the program work including overriding, interfaces, and behavior types. Each of these solutions had different pros and cons depending on what the user wanted out of the program.

All-in-all, each different type of design pattern has their own uses and downfalls. When working with design patterns, understand what a client or users want out of a program is key to really determining what design pattern to actually use.

From the blog CS@Worcester – Works for Me by Seth Boudreau and used with permission of the author. All other rights reserved by the author.

The Uml digram

The blog
post, UML Diagrams – Everything You Need to Know to Improve Team Collaboration,
provides a clear explanation of Unified Modeling Language(UML) Diagram, its
usage and types ending with how it helps to visualize the project. Starting
off, the blog covers the usage of UML diagrams, continuing with its key uses,
forward design, modeling before coding to plan a system, and backward design, modeling
after coding to document a finished system. Also, it covers the thirteen UML diagram
types and what each type shows and describes what each type represents and how
it contributes to visualizing processes effectively.

I chose this
article as it summarizes clearly what the UML diagram, its usage, how the UML
diagram can be used to collaborate with other teammates. First was that since
the class, I felt that I needed to understand UML diagrams better as I still
did not get what use does it has. The fact that it emphasizes UML diagram as
white board for building and analyzing the system the team gave me some reason
for understanding more about UML diagram. Not only that, but the article also
clearly goes in-depth about the UML diagram that goes way in depth compared to
the course of behavioral and structural diagrams and how they can fit together
in real-world workflows. Overall, this blog clarified how UML diagrams support
collaboration as a visual tools to help team members to see and discuss system
structures and behaviors. It made me view UML not just as an academic
requirement but as a practical communication tool that can strengthen teamwork
in future software projects.

After
looking at the article and learning more about UML diagram, I felt like even
though it might not be perfect, that I might have to use it for future use. When
coding I have something on my mind to create, but when trying to explain it or comment
on the structure of the code. Sometimes others don’t understand or sometimes I cannot
remember why I did that later. Not only that, but the rough draft of the
structure can also be used when talking with other teammates because I cannot
do everything by myself and we need to see the same picture, and I think UML diagram
will be the virtual whiteboard for it.

https://www.bluescape.com/resource-library/uml-diagrams-everything-you-need-to-know-to-improve-team-collaboration