In another podcast from Stack Overflow again by Ben Popper with special guest Johnathan Schneider, discusses the nature of technical debt surrounding open-source projects. The main example used throughout the podcast is refactoring code, switching from java 7 to java 8. And in later examples sometimes java 8 to like java 17. As they explain the difficulty when switching, especially when more manual work is needed, talk about the ways technical debt is created. After more discussion around the software he made to help refactoring, goes into more detail about the nature of technical debt. We think of technical debt as something that we impose on ourselves. Like taking shortcuts or code that needs to be updated. One of the main points of this podcast is to think about technical debt more as maintenance. Obviously sometimes it is self-inflicted, but often it just comes with the territory. As new things come out, things will need to be updated. It’s easier to think of it as something that needs to be done for the sake of the health of the program. Rather than as something I did that I need to fix because of my own short sightedness. 

I chose this podcast because it is related to our discussions of technical debt and refactoring code. In class, we talked about the nature of technical debt and how often it is a code structure thing or maybe a breaking change. It is more thought of as something that comes as a result of not thinking ahead. While I think that is true in many cases. I think a lot of the time it can’t be avoided, like in the case of code versions. Thus it’s better to think of it as maintenance rather than something that could have been avoided. For me, mentally saying that this problem is something that couldn’t have been avoided is better. If I think it’s my fault then I feel like an idiot and get down on myself. Maybe it is just a mental thing, but it goes a long way for the mentality of a person or team. Another aspect of the podcast I think it is important to think about is how the open-source nature plays a part in this. Code is being worked on at all times, different people. So when the code is updated and your code no longer works. It’s important to realize that this isn’t your fault and just is the nature of things. The code not working is not your fault and just needs to be maintained so it works again.

Citations

https://the-stack-overflow-podcast.simplecast.com/episodes/open-source-ecosystem-reduce-tech-debt/transcript

From the blog CS@Worcester – Code Craft by Kyle Tucker and used with permission of the author. All other rights reserved by the author.

In this podcast episode from Stack Overflow by Ben Popper with special guest Ryan Donovan, discusses the evolution of documentation and the future of technical writing. The whole episode is about the nature of writing documentation is changing fast. With the advent of generative AI and other tools like linters that can automatically write or run tests make technical writing more automated now more than ever. One of the first talking points is why documentation is being pushed a lot more now. Increasingly because programmers don’t like writing documentation this job is delegated to technical writers. Who will go into code repositories and write documentation.These technical writers end up being some of the most important people when it comes to code structure. Since they write the documentation that defines how the program is specified and built. 

After moving through some background information the next talking point is the future of technical writing. This was of the most interesting parts to me because it discusses not only just the AI aspect, but things like how other tools play a role. The question then becomes will AI replace technical writers? The answer they concluded was no. Although it is able to generate and automate documentation. Often that documentation needs to be looked over. For the moment AI is not able to create fully functioning documentation to that level yet.

I chose this podcast because it directly relates to what we have been doing in class lately. Looking at the Open API yaml and documentation related files. I don’t think there is a specific lesson to be learned from this podcast. More about just thinking about the future of technical writing. As programmers, we will all have to interact with documentation at some point. Whether that be something like java docs or yaml files. I think it’s important to know what goes into making documentation and the people who write. Because it really is a career all in of itself. Like I mentioned before, one of the most interesting aspects of technical writing is how AI is changing the landscape. Like many areas right now, people are worried if their jobs are in danger. I think with a lot of other cases human supervision is still needed. Another point that I didn’t really think about before now is the importance of documentation other than just information. Like in the case of yaml files that define structure. Is how important it is because it literally specifies how software operates. Like the definitions of endpoints that must be fulfilled and other specifications.

Citations

https://the-stack-overflow-podcast.simplecast.com/episodes/your-docs-are-your-infrastructure/transcript

From the blog CS@Worcester – Code Craft by Kyle Tucker and used with permission of the author. All other rights reserved by the author.

I read XAM’s blog post “The Ethics of Software Development: Balancing Business and Social Responsibility” this week. It discusses moral dilemmas that software developers face, as well as the importance of balancing social responsibility with corporate objectives.

Ethics is an important but sometimes overlooked aspect of software development, which is why I chose this website. Although CS-348 focuses heavily on software design and development techniques, the topics discussed do not necessarily address the moral implications of our decisions. I assumed that studying more about this subject would help me understand what this means in my profession as a software developer.

The blog post shows how designing software frequently requires challenging decisions when social or ethical considerations conflict with business goals. Engineers, for example, may face pressure to cut costs or launch software faster, putting inclusivity, user privacy, and quality at risk. The article emphasizes developers’ responsibility to promote moral behavior, even if it is not the simplest or most profitable alternative.

I was particularly interested in the post’s discussion of “building trust” and how making moral decisions is critical to earning the respect of end users and society as a whole. I could relate to the example of appropriately managing user data. In an age when data privacy is frequently violated, software developers must take proactive steps to protect sensitive data and maintain user rights.

After reading this blog post, I had to reflect on my own responsibility as a prospective software developer. I understand that every decision I make has an impact on other people’s lives, even if it is tempting to focus solely on meeting deadlines or fixing technical challenges. For example, I might be assigned to create a feature that collects user data. I must ask myself: Is this information required? What will they do with it? Have we ensured the user is informed? These studies must become a critical part of my personal development.

I also realized that ethical software development requires effective communication with all parties involved, including employers, coworkers, and users. Even if it means going against established or short-term economic goals, developers must be willing to promote morally just solutions. As the post makes clear ethical behavior is critical for long-term success and trust.

I will take the time to explore the ethical implications of my work, whether I am working on a class project or in a professional setting. To ensure that I make wise and responsible decisions, I plan to further my education on topics such as data privacy, accessibility, and security.

Moving forward, I plan to incorporate this ethical attitude into my own development process. To summarize, this resource provided me with valuable insights on how software development balances social responsibility and profitability. It noted the idea that developers have an important role in creating technology that improves society while adhering to moral ideals, as well as fixing problems. I believe that taking this stance will help me become a more caring and accountable software engineer !!

From the blog CS@Worcester – Just A Girl in STEM by Joy Kimani and used with permission of the author. All other rights reserved by the author.

Design patterns are extremely useful within software design. Essentially they are like established solutions to common problems within various contexts. We have learned a lot about design patterns this semester, especially creational, structural, and behavioral. Since we have talked about them and worked with them a lot, I thought it would be a good idea to write a post about what each is. A blog I found while researching more into the topic is called “Intro to Design Patterns” by Saverio Mazza. I think this blog does a great job at giving a brief overview of each of the three different design patterns and how they work. They are extremely helpful for anyone working in software design, and I feel like they will be used in any career I choose. I’m very grateful that I was able to learn more about these design patterns, and I hope my blog post will help you learn more too.

Creational Patterns: As it mentions in the name, creational patterns have to do with the way that objects are created. According to Mazza “They aim to abstract the instantiation process, making a system independent of how its objects are created, composed, and represented. Some examples of creational patterns include the singleton pattern, the factory method pattern, the abstract factory pattern, the builder pattern, and the prototype pattern.

Structural Patterns: These types of patterns deal with how classes and objects are composed in order to form larger structures. They make sure that when one part of a system changes, the rest of it doesn’t need to. Similarly, they make sure that parts of the system are decoupled and can improve the system’s flexibility and reusability. Some examples of structural patterns include the adapter pattern, the composite pattern, the proxy pattern, the flyweight pattern, the bridge pattern, and the decorator pattern.

Behavioral Patterns: Behavioral patterns deal with algorithms and the assignment of responsibilities between objects. They describe the patterns of communication between objects and classes as well as the patterns between them. They let you concentrate just on the way that the objects are interconnected. Some examples of behavioral patterns are the observer pattern, the strategy pattern, the command pattern, the state pattern, the visitor pattern, the mediator pattern, the memento pattern, and the template method pattern.

If you want to learn more about the specific patterns mentioned, I highly recommend checking out the linked blog for more information!

Link: https://medium.com/@saverio3107/intro-to-design-patterns-66f1aebe5be5

From the blog CS@Worcester – One pixel at a time by gizmo10203 and used with permission of the author. All other rights reserved by the author.

The blog post “Introduction to Dev Containers” on the Versent Tech Blog provides an insightful look into the benefits and use cases of Dev Containers in Visual Studio Code (VS Code). Dev Containers are an advanced feature that allows developers to define their development environment as a container. This ensures consistency across different environments and allows developers to collaborate without worrying about “it works on my machine” issues. In this blog post, the author explains how Dev Containers help in streamlining development workflows and how to set them up using VS Code.

The article starts by addressing a common pain point in software development: ensuring that the development environment is consistent across all team members. This is especially important in teams where developers use different operating systems or have varying configurations. By using Docker containers, VS Code’s Dev Containers allow teams to define a common development environment that can be replicated on any machine, avoiding discrepancies caused by mismatched dependencies or configurations.

The post explains how to configure a Dev Container in VS Code using a file called devcontainer.json, which specifies the operating system, programming languages, and dependencies required for the project. It also highlights how to use VS Code extensions within the container and how to work with the integrated terminal, which runs inside the containerized environment. The author emphasizes the simplicity of setting up Dev Containers, noting that once configured, developers can spin up the same environment across different machines with ease.

One of the key advantages of Dev Containers is that they provide a fully reproducible environment, which is a critical feature in team collaborations. Developers no longer need to manually install dependencies or worry about whether their local setup matches the production environment. Everything required for development is neatly packaged within the container. This aligns perfectly with the principles of modern DevOps and containerization, both of which have become integral to software development practices.

I chose this blog post because it directly relates to the topics we’ve been covering in our course, particularly around containerization and software environments. Our course has touched on tools like Docker and container management, and this article provided a clear, hands-on demonstration of how containers can be used in practice to simplify development workflows.

Reading this blog post gave me a deeper understanding of how Dev Containers can save time and prevent issues in team-based development. The ability to define and share development environments as code is powerful—it ensures that everyone on the team is using the same dependencies and settings. I also learned that by leveraging Dev Containers, teams can avoid the classic “works on my machine” problem, where a project may run fine on one developer’s computer but fail on another’s due to environmental differences.

In conclusion, the blog post “Introduction to Dev Containers” offers valuable insights into how Dev Containers can revolutionize the development process by providing consistency, portability, and ease of use. This tool is an excellent way for teams to improve collaboration and productivity. I look forward to implementing Dev Containers in my own development workflow.

Read the full blog post here.

From the blog SoftwareDiary by Oanh Nguyen and used with permission of the author. All other rights reserved by the author.

Hi class,

For this blog post I decided to choose the topic of team management. Team management. https://www.youtube.com/watch?v=BtBQdMWlpbQ. 

Anas Salman, who is a senior engineer manager at Uber, goes on to talk when meeting with a new engineer he will be very hands on with the said engineer in his career growth. When looking at growth for his engineers, Anas’ success is not if your engineer gets a promotion, but rather building skills and filling gaps in the engineers’ experience. Anas stresses a promotion is less important than doing great work, which a side effect would be a promotion.

Patrick acknowledges that people’s personalities and skills are different and vary, which as manager can sometimes be hard to find a good fit for the team. Anas agrees with this of which he has a baseline foundation of all incoming engineers/software developers. They must have a thorough understanding of the basics of coding.

Patrick begins the podcast by stating there can be a lot of processes set in place within team management, some of which can be tedious. Anas takes a different approach rather than looking at processes as simply that. As a manager, you must look at the processes and know three key aspects: to understand why it’s there, what’s the purpose, and the value. This will help your engineers not just do a process to do it, but understand it on a deeper level. 

Patrick states that as a manager, you need to have a motivated team, and sometimes it can be hard for engineers to find passion. Anas agrees with this. He says as a manager you need to align their passion with the needs of the team. This makes them more aware that this can lead to great growth in career and personal development. 

Patrick says the goal at the first meeting of the project all the way to the end of the project to his team and himself. By doing this, everyone on the team will be aligned with the shared goal. This will generate new motivation to start the project, coming up with new ideas and active discussions about how to reach the goal. 

My personal comments about this is that I like the way Anas thinks a lot about team management. If you’re in a team environment and you made a mistake and/or hit a challenge, he encourages this to happen, “Challenges are not usually bad things… I see them as gifts.” Anas says mistakes/challenges will be the accelerator for your career growth. Furthermore, he is showing his team that these are learning opportunities; I like that a lot and personally face challenges in and out of coding, by which adapting this mindset can only help me as an overall person and programmer, where simply doing will result in a greater outcome than seeking.

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.

In this blog post, I will be talking about the various ways one can make their code reviews better. The blog that I am referencing is titled “How to Make Good Code Reviews Better” and is published on the Stack Overflow blog. The blog post outlines multiple strategies for people to improve their code reviews. These strategies include maintaining a respectful tone, offering specific and constructive feedback, and trying to focus specifically on high-impact areas. Furthermore, the importance of maintaining a balance between efficiency and thoroughness is highlighted in the blog, as balancing those two is very important if you want to ensure that reviews don’t become a barrier for your team during the development process.

I chose this blog because I thought that it would be a resourceful blog to read through, as these strategies can definitely help in the future for my professional career. This also relates to what we learned in class, as the blog heavily focuses on collaboration which can be tied back to our discussions about agile development.

This blog made me realize that code reviews should not be harsh critiques, but rather helpful conversations that provide insight on what should be improved in your code. It shouldn’t feel like a negative conversation, it should be supportive and friendly which creates a better working environment. For me, it also brings encouragement, as workers will feel more encouraged to improve upon their code if their coworkers are actively supporting them. Code reviews should be focused on the “what” and “how” rather than just listing all of the flaws of the code.

The blog also mentions how people should be reviewing for the future by providing insights that extend beyond the immediate fixes in order for the code to have better maintainability. The reviews should, of course, fix the immediate problems, but should also set up the program for better and for consistent success in the future. It should be focused on the sustainability of the code rather than just fixing all the short-term problems but not addressing how it will look in years. In general, every line of code that one writes should be written with the long-term impact of said code in mind.

Going forward, I am planning on applying these strategies of good code review in my professional career as well as my current academic career. If I am reviewing the code of a peer, I will aim to give constructive feedback that makes it feel encouraging rather than simply telling someone all the problems with their code. Doing this creates a better workplace environment where people feel comfortable with expressing their thoughts and opinions about things, creating a better team atmosphere and promoting teamwork and collaboration. I will also welcome feedback from peers about my work, as it is important to listen to the feedback of your peers, as in the end we are all working together towards a common goal.

Link: https://stackoverflow.blog/2019/09/30/how-to-make-good-code-reviews-better/

From the blog CS@Worcester – Coding Canvas by Sean Wang and used with permission of the author. All other rights reserved by the author.