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:

https://www.bmc.com/blogs/technical-debt-explained-the-complete-guide-to-understanding-and-dealing-with-technical-debt/#

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:

https://www.bmc.com/blogs/technical-debt-explained-the-complete-guide-to-understanding-and-dealing-with-technical-debt/#

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:

https://www.bmc.com/blogs/technical-debt-explained-the-complete-guide-to-understanding-and-dealing-with-technical-debt/#

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:

https://www.bmc.com/blogs/technical-debt-explained-the-complete-guide-to-understanding-and-dealing-with-technical-debt/#

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:

https://www.bmc.com/blogs/technical-debt-explained-the-complete-guide-to-understanding-and-dealing-with-technical-debt/#

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:

https://www.bmc.com/blogs/technical-debt-explained-the-complete-guide-to-understanding-and-dealing-with-technical-debt/#

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:

https://www.bmc.com/blogs/technical-debt-explained-the-complete-guide-to-understanding-and-dealing-with-technical-debt/#

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:

https://www.bmc.com/blogs/technical-debt-explained-the-complete-guide-to-understanding-and-dealing-with-technical-debt/#

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:

https://www.bmc.com/blogs/technical-debt-explained-the-complete-guide-to-understanding-and-dealing-with-technical-debt/#

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

KISS is an American rock band formed in New York City in
1973. The band is known for its elaborate stage shows, which often feature
pyrotechnics, fire breathing, and other special effects, as well as the use of
makeup and costumes by the band members. In all seriousness…

The KISS principle, or Keep It Simple, Stupid, emphasizes
the importance of simplicity in design and systems. By keeping things simple,
you can better understand and meet the needs of customers and create products
that are more user-friendly and effective. In the world of software and
technology, the KISS principle is especially important, as people often have
many options to choose from and may not understand complex technology. By
following KISS, you can build a minimal viable product (MVP) that allows you to
confirm or disprove your hypothesis with minimal work and deliver your product
in a straightforward way that is easier for users to understand. Amazon, for
example, lists the KISS principle as a core leadership principle, stating that
leaders should always find ways to simplify. When designing, it is important to
wireframe religiously, use universally understood concepts, and avoid
distractions. By following KISS, designers and developers can create products
that are more efficient, effective, and user-friendly, and that are easier to
maintain and update over time. The KISS principle is often applied to the
design of systems and user interfaces, as well as to the development of code
and algorithms, to create products that are intuitive and user-friendly.

I selected this
post because I have always been interested in the principles of good design and
how they can be applied to create better code as a result. The KISS principle
is a concept that I have heard of before in other classes and especially in the
Robotics class last semester. I wanted to learn more about this principle and after
reading this post was impressed by the emphasis on simplicity and how it can
lead to better products and user experiences. The post also focused heavily on
real world applications and its outcome which helped me visualize it better. I
found this material to be very informative and made me think about how I can
apply the principles of simplicity and user-friendliness in my own projects and
for other CS classes in the future. I expect to use what I learned from this
resource in my future practice by being mindful of the KISS principle and
always striving to create products that are simple, efficient, and
user-friendly.

Source:

https://www.freecodecamp.org/news/keep-it-simple-stupid-how-to-use-the-kiss-principle-in-design/

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