This blog is mostly going to be utilized to fulfill course requirements for my CS-343 and CS-348 courses, along with any future courses I take that will include blog posts as part of the specifications for course completion. I’m not the biggest fan of writing, but I do think it may be a useful exercise overall.
Let’s see where this takes us.
From the blog CS@Worcester – V's CompSCi Blog by V and used with permission of the author. All other rights reserved by the author.
Never been the type of person to blog but I guess we all start somewhere 
From the blog CS@Worcester – CS: Start to Finish by mrjfatal and used with permission of the author. All other rights reserved by the author.
This is my introductory blog for CS-343. I am currently a senior at Worcester State University hoping to complete both concentrations of Data Analytics and Software Development before graduation. I am also minoring in Mathematics and play for the Men’s Ice Hockey team at the school.
From the blog CS@Worcester – Jason Lee Computer Science Blog by jlee3811 and used with permission of the author. All other rights reserved by the author.
Technical debt is a programming theory that refers to the
necessary work that gets delayed during the development of a software project
to meet a deadline or deliverable. It is an idea that shortcuts are taken to
quickly deliver a product, but this decision incurs a “debt” that
must be paid in the future when the work is eventually completed. Technical
debt is often the result of a tradeoff between perfect products and the short
timelines often required for product delivery. Developers may choose the easier
route with messier code or design to deliver a product faster, but this can
lead to technical debt that must be addressed later.
Technical debt can accumulate “interest” over
time, increasing the difficulty of implementing changes and leading to software
entropy. It is important to manage technical debt to avoid these negative
consequences. This involves identifying technical debt, accounting for
nonfunctional requirements, and implementing best practices and agile practices
to minimize it. It is also important to be proactive in reducing technical debt
in new initiatives by carefully planning and designing projects from the start.
I selected this post because I wanted to learn more about
technical debt as I found the concept to be particularly interesting and
relevant to my future projects. This topic also seemed important as I found it
amazing that despite the large file structure for projects in this class, it
was not too difficult to add and update code for the assignments. That showed
me how a codebase can avoid technical debt to a degree, and how it simplifies
for maintainers (or a group of students) the process of adding and updating
code to the codebase. After reading through the blog, I gained a better
understanding of what technical debt is and how it can accumulate over time.
This really resonated with me as I can see how important it is to consider the
long-term implications of the decisions, we make during the development
process. One of the most valuable takeaways for me was learning about the various
types of technical debt and how to identify them. This will be especially
useful as I continue to learn and grow as a programmer. I also appreciated the
discussion of best practices and agile practices for managing technical debt,
as I can see how these approaches can help to minimize the amount of debt that
is incurred. I expect to apply what I learned in my future practice by being
more mindful of the potential impacts of my decisions and actively working to
minimize technical debt whenever possible.
Source:
From the blog Zed's Blog by Lord Zed and used with permission of the author. All other rights reserved by the author.
Technical debt is a programming theory that refers to the
necessary work that gets delayed during the development of a software project
to meet a deadline or deliverable. It is an idea that shortcuts are taken to
quickly deliver a product, but this decision incurs a “debt” that
must be paid in the future when the work is eventually completed. Technical
debt is often the result of a tradeoff between perfect products and the short
timelines often required for product delivery. Developers may choose the easier
route with messier code or design to deliver a product faster, but this can
lead to technical debt that must be addressed later.
Technical debt can accumulate “interest” over
time, increasing the difficulty of implementing changes and leading to software
entropy. It is important to manage technical debt to avoid these negative
consequences. This involves identifying technical debt, accounting for
nonfunctional requirements, and implementing best practices and agile practices
to minimize it. It is also important to be proactive in reducing technical debt
in new initiatives by carefully planning and designing projects from the start.
I selected this post because I wanted to learn more about
technical debt as I found the concept to be particularly interesting and
relevant to my future projects. This topic also seemed important as I found it
amazing that despite the large file structure for projects in this class, it
was not too difficult to add and update code for the assignments. That showed
me how a codebase can avoid technical debt to a degree, and how it simplifies
for maintainers (or a group of students) the process of adding and updating
code to the codebase. After reading through the blog, I gained a better
understanding of what technical debt is and how it can accumulate over time.
This really resonated with me as I can see how important it is to consider the
long-term implications of the decisions, we make during the development
process. One of the most valuable takeaways for me was learning about the various
types of technical debt and how to identify them. This will be especially
useful as I continue to learn and grow as a programmer. I also appreciated the
discussion of best practices and agile practices for managing technical debt,
as I can see how these approaches can help to minimize the amount of debt that
is incurred. I expect to apply what I learned in my future practice by being
more mindful of the potential impacts of my decisions and actively working to
minimize technical debt whenever possible.
Source:
From the blog Zed's Blog by Lord Zed and used with permission of the author. All other rights reserved by the author.
Technical debt is a programming theory that refers to the
necessary work that gets delayed during the development of a software project
to meet a deadline or deliverable. It is an idea that shortcuts are taken to
quickly deliver a product, but this decision incurs a “debt” that
must be paid in the future when the work is eventually completed. Technical
debt is often the result of a tradeoff between perfect products and the short
timelines often required for product delivery. Developers may choose the easier
route with messier code or design to deliver a product faster, but this can
lead to technical debt that must be addressed later.
Technical debt can accumulate “interest” over
time, increasing the difficulty of implementing changes and leading to software
entropy. It is important to manage technical debt to avoid these negative
consequences. This involves identifying technical debt, accounting for
nonfunctional requirements, and implementing best practices and agile practices
to minimize it. It is also important to be proactive in reducing technical debt
in new initiatives by carefully planning and designing projects from the start.
I selected this post because I wanted to learn more about
technical debt as I found the concept to be particularly interesting and
relevant to my future projects. This topic also seemed important as I found it
amazing that despite the large file structure for projects in this class, it
was not too difficult to add and update code for the assignments. That showed
me how a codebase can avoid technical debt to a degree, and how it simplifies
for maintainers (or a group of students) the process of adding and updating
code to the codebase. After reading through the blog, I gained a better
understanding of what technical debt is and how it can accumulate over time.
This really resonated with me as I can see how important it is to consider the
long-term implications of the decisions, we make during the development
process. One of the most valuable takeaways for me was learning about the various
types of technical debt and how to identify them. This will be especially
useful as I continue to learn and grow as a programmer. I also appreciated the
discussion of best practices and agile practices for managing technical debt,
as I can see how these approaches can help to minimize the amount of debt that
is incurred. I expect to apply what I learned in my future practice by being
more mindful of the potential impacts of my decisions and actively working to
minimize technical debt whenever possible.
Source:
From the blog Zed's Blog by Lord Zed and used with permission of the author. All other rights reserved by the author.
Technical debt is a programming theory that refers to the
necessary work that gets delayed during the development of a software project
to meet a deadline or deliverable. It is an idea that shortcuts are taken to
quickly deliver a product, but this decision incurs a “debt” that
must be paid in the future when the work is eventually completed. Technical
debt is often the result of a tradeoff between perfect products and the short
timelines often required for product delivery. Developers may choose the easier
route with messier code or design to deliver a product faster, but this can
lead to technical debt that must be addressed later.
Technical debt can accumulate “interest” over
time, increasing the difficulty of implementing changes and leading to software
entropy. It is important to manage technical debt to avoid these negative
consequences. This involves identifying technical debt, accounting for
nonfunctional requirements, and implementing best practices and agile practices
to minimize it. It is also important to be proactive in reducing technical debt
in new initiatives by carefully planning and designing projects from the start.
I selected this post because I wanted to learn more about
technical debt as I found the concept to be particularly interesting and
relevant to my future projects. This topic also seemed important as I found it
amazing that despite the large file structure for projects in this class, it
was not too difficult to add and update code for the assignments. That showed
me how a codebase can avoid technical debt to a degree, and how it simplifies
for maintainers (or a group of students) the process of adding and updating
code to the codebase. After reading through the blog, I gained a better
understanding of what technical debt is and how it can accumulate over time.
This really resonated with me as I can see how important it is to consider the
long-term implications of the decisions, we make during the development
process. One of the most valuable takeaways for me was learning about the various
types of technical debt and how to identify them. This will be especially
useful as I continue to learn and grow as a programmer. I also appreciated the
discussion of best practices and agile practices for managing technical debt,
as I can see how these approaches can help to minimize the amount of debt that
is incurred. I expect to apply what I learned in my future practice by being
more mindful of the potential impacts of my decisions and actively working to
minimize technical debt whenever possible.
Source:
From the blog Zed's Blog by Lord Zed and used with permission of the author. All other rights reserved by the author.
Technical debt is a programming theory that refers to the
necessary work that gets delayed during the development of a software project
to meet a deadline or deliverable. It is an idea that shortcuts are taken to
quickly deliver a product, but this decision incurs a “debt” that
must be paid in the future when the work is eventually completed. Technical
debt is often the result of a tradeoff between perfect products and the short
timelines often required for product delivery. Developers may choose the easier
route with messier code or design to deliver a product faster, but this can
lead to technical debt that must be addressed later.
Technical debt can accumulate “interest” over
time, increasing the difficulty of implementing changes and leading to software
entropy. It is important to manage technical debt to avoid these negative
consequences. This involves identifying technical debt, accounting for
nonfunctional requirements, and implementing best practices and agile practices
to minimize it. It is also important to be proactive in reducing technical debt
in new initiatives by carefully planning and designing projects from the start.
I selected this post because I wanted to learn more about
technical debt as I found the concept to be particularly interesting and
relevant to my future projects. This topic also seemed important as I found it
amazing that despite the large file structure for projects in this class, it
was not too difficult to add and update code for the assignments. That showed
me how a codebase can avoid technical debt to a degree, and how it simplifies
for maintainers (or a group of students) the process of adding and updating
code to the codebase. After reading through the blog, I gained a better
understanding of what technical debt is and how it can accumulate over time.
This really resonated with me as I can see how important it is to consider the
long-term implications of the decisions, we make during the development
process. One of the most valuable takeaways for me was learning about the various
types of technical debt and how to identify them. This will be especially
useful as I continue to learn and grow as a programmer. I also appreciated the
discussion of best practices and agile practices for managing technical debt,
as I can see how these approaches can help to minimize the amount of debt that
is incurred. I expect to apply what I learned in my future practice by being
more mindful of the potential impacts of my decisions and actively working to
minimize technical debt whenever possible.
Source:
From the blog Zed's Blog by Lord Zed and used with permission of the author. All other rights reserved by the author.
Technical debt is a programming theory that refers to the
necessary work that gets delayed during the development of a software project
to meet a deadline or deliverable. It is an idea that shortcuts are taken to
quickly deliver a product, but this decision incurs a “debt” that
must be paid in the future when the work is eventually completed. Technical
debt is often the result of a tradeoff between perfect products and the short
timelines often required for product delivery. Developers may choose the easier
route with messier code or design to deliver a product faster, but this can
lead to technical debt that must be addressed later.
Technical debt can accumulate “interest” over
time, increasing the difficulty of implementing changes and leading to software
entropy. It is important to manage technical debt to avoid these negative
consequences. This involves identifying technical debt, accounting for
nonfunctional requirements, and implementing best practices and agile practices
to minimize it. It is also important to be proactive in reducing technical debt
in new initiatives by carefully planning and designing projects from the start.
I selected this post because I wanted to learn more about
technical debt as I found the concept to be particularly interesting and
relevant to my future projects. This topic also seemed important as I found it
amazing that despite the large file structure for projects in this class, it
was not too difficult to add and update code for the assignments. That showed
me how a codebase can avoid technical debt to a degree, and how it simplifies
for maintainers (or a group of students) the process of adding and updating
code to the codebase. After reading through the blog, I gained a better
understanding of what technical debt is and how it can accumulate over time.
This really resonated with me as I can see how important it is to consider the
long-term implications of the decisions, we make during the development
process. One of the most valuable takeaways for me was learning about the various
types of technical debt and how to identify them. This will be especially
useful as I continue to learn and grow as a programmer. I also appreciated the
discussion of best practices and agile practices for managing technical debt,
as I can see how these approaches can help to minimize the amount of debt that
is incurred. I expect to apply what I learned in my future practice by being
more mindful of the potential impacts of my decisions and actively working to
minimize technical debt whenever possible.
Source:
From the blog Zed's Blog by Lord Zed and used with permission of the author. All other rights reserved by the author.
Technical debt is a programming theory that refers to the
necessary work that gets delayed during the development of a software project
to meet a deadline or deliverable. It is an idea that shortcuts are taken to
quickly deliver a product, but this decision incurs a “debt” that
must be paid in the future when the work is eventually completed. Technical
debt is often the result of a tradeoff between perfect products and the short
timelines often required for product delivery. Developers may choose the easier
route with messier code or design to deliver a product faster, but this can
lead to technical debt that must be addressed later.
Technical debt can accumulate “interest” over
time, increasing the difficulty of implementing changes and leading to software
entropy. It is important to manage technical debt to avoid these negative
consequences. This involves identifying technical debt, accounting for
nonfunctional requirements, and implementing best practices and agile practices
to minimize it. It is also important to be proactive in reducing technical debt
in new initiatives by carefully planning and designing projects from the start.
I selected this post because I wanted to learn more about
technical debt as I found the concept to be particularly interesting and
relevant to my future projects. This topic also seemed important as I found it
amazing that despite the large file structure for projects in this class, it
was not too difficult to add and update code for the assignments. That showed
me how a codebase can avoid technical debt to a degree, and how it simplifies
for maintainers (or a group of students) the process of adding and updating
code to the codebase. After reading through the blog, I gained a better
understanding of what technical debt is and how it can accumulate over time.
This really resonated with me as I can see how important it is to consider the
long-term implications of the decisions, we make during the development
process. One of the most valuable takeaways for me was learning about the various
types of technical debt and how to identify them. This will be especially
useful as I continue to learn and grow as a programmer. I also appreciated the
discussion of best practices and agile practices for managing technical debt,
as I can see how these approaches can help to minimize the amount of debt that
is incurred. I expect to apply what I learned in my future practice by being
more mindful of the potential impacts of my decisions and actively working to
minimize technical debt whenever possible.
Source:
From the blog Zed's Blog by Lord Zed and used with permission of the author. All other rights reserved by the author.