The top 10 Python projects that are easily buildable for beginners are here now. No need to be an expert in Python to do these projects. Every new Python programmer must work on these projects. They are not only best for beginners but will also help a programmer get a grip on Python. These projects will help you create a catchy portfolio. A client must look at your portfolio and decide to assign you the project. When he sees something tricky in your portfolio. He will be crazy to work with you. Whenever a new programmer jumps into the market. He faces failures. Failure makes you stronger. It is a good practice for a new programmer to make their portfolio strong before getting into the market. The actual market is too different from the learning process. The main cause of their failure is that a fresher thinks that the work will be the same as in the actual market, as I am learning and doing now. Here are 10 beginner-friendly Python projects that will help you practice coding a...
Introduction
ChatGPT writes 70% of the blogs on the internet. Human beings write the remaining 30%.
By this, one can assume the power and need of
AI. Today, AI is covering almost all the fields of the digital world. The fear
begins here. AI is affecting mostly the programmers. Programmers are worried
about their future. AI is doing everything that a programmer does. From the
designing of a program to deployment. AI is enough.
Outline
- What can AI do?
- Fast Processing
- AI as an assistant
- Popular AI Tools
- What AI can't replace?
- Lack of Creativity
- Problem-Solving Limitations
- Inability to Structure Projects
- Communication & Collaboration Issues
- Conclusion
- Fast Processing
- AI as an assistant
- Popular AI Tools
- Lack of Creativity
- Problem-Solving Limitations
- Inability to Structure Projects
- Communication & Collaboration Issues
AI Abilities
The reality is that AI will remove the need for programmers
from the field. AI is now doing an awesome job. But there are some issues that
an AI cannot solve. But as time passes. AI is getting more and more powerful.
The most common AI tool is ChatGPT. It
assists people in their digital, professional, and personal lives. Somewhere, it
has removed the need for an assistant. Many other AI tools are working, like Gemini, Bing,
GitHub Copilot, etc. But the
question is here. Will AI replace the programmers?
In today's era, AI
can generate code simply through prompts, allowing users to build or modify websites
with ease. A user can request content updates, structural changes, or even
complete layouts, and AI will execute these instructions in seconds. While it's
true that AI lacks the advanced problem-solving capabilities and intuition of a
human developer, there's no denying its raw power and efficiency. For instance,
a portfolio website that might take a human five hours to complete can often be
created by an AI tool in just a few minutes. This makes AI highly advantageous
in terms of time-saving and productivity.
The reality is that AI will remove the need for programmers
from the field. AI is now doing an awesome job. But there are some issues that
an AI cannot solve. But as time passes. AI is getting more and more powerful.
The most common AI tool is ChatGPT. It
assists people in their digital, professional, and personal lives. Somewhere, it
has removed the need for an assistant. Many other AI tools are working, like Gemini, Bing,
GitHub Copilot, etc. But the
question is here. Will AI replace the programmers?
In today's era, AI
can generate code simply through prompts, allowing users to build or modify websites
with ease. A user can request content updates, structural changes, or even
complete layouts, and AI will execute these instructions in seconds. While it's
true that AI lacks the advanced problem-solving capabilities and intuition of a
human developer, there's no denying its raw power and efficiency. For instance,
a portfolio website that might take a human five hours to complete can often be
created by an AI tool in just a few minutes. This makes AI highly advantageous
in terms of time-saving and productivity.
WhatAI Can’t Replace!
AI can’t be as creative as a human. It needs knowledge,
clear instructions, and attention to work properly. The truth is, someone
without technical understanding can’t use AI tools effectively. AI doesn’t work
on its own—it always needs a human to guide it with prompts. Without these
instructions, it cannot create or build anything by itself. That’s one of the
biggest reasons AI cannot replace real programmers. A programmer not only
understands how to use AI tools but also knows how to guide them to get better
and faster results. In this way, AI becomes a helpful assistant, but it still
depends on human creativity, experience, and control.
AI tools are very helpful, but they don’t have the
problem-solving skills that human developers do. Imagine you have a large
website with more than 100 pages and a lot of complex logic. If a bug suddenly
appears, it’s not easy to copy and send all the code to an AI tool. Even if you
try, the AI might not fully understand how the entire website works together.
That’s because AI can read code, but it doesn’t truly understand the full
structure, purpose, or logic behind it. In this case, you need a skilled
programmer. It might take the programmer some time to find the issue, but they
can analyze the code, understand what’s wrong, and fix the bug. This shows that
when it comes to solving complicated problems, humans are still better than AI.
AI is not able to properly structure a program or set up its
architecture on its own. It can’t decide where files should go or how folders
should be organized. Tasks like connecting a database to a website still
require a human developer. While AI can assist by giving suggestions or guiding
the user, it cannot make these decisions by itself. Project structuring and
architecture require deep experience, strategic thinking, and an understanding
of the bigger picture—skills that only a human programmer can provide.
AI is not good at communicating with stakeholders. It cannot
effectively collaborate with the project manager, client, testers, or
deployment team. Every project needs discussions, feedback, and teamwork—things
only humans can handle properly. If there’s a problem in the design or a poor
user experience (UI/UX), AI can’t fully understand or feel what’s wrong. It
takes human communication, creativity, and teamwork to identify and fix such
issues. That’s why AI can assist in development, but it cannot replace the role
of a developer in a team environment.
AI can’t be as creative as a human. It needs knowledge,
clear instructions, and attention to work properly. The truth is, someone
without technical understanding can’t use AI tools effectively. AI doesn’t work
on its own—it always needs a human to guide it with prompts. Without these
instructions, it cannot create or build anything by itself. That’s one of the
biggest reasons AI cannot replace real programmers. A programmer not only
understands how to use AI tools but also knows how to guide them to get better
and faster results. In this way, AI becomes a helpful assistant, but it still
depends on human creativity, experience, and control.
AI tools are very helpful, but they don’t have the
problem-solving skills that human developers do. Imagine you have a large
website with more than 100 pages and a lot of complex logic. If a bug suddenly
appears, it’s not easy to copy and send all the code to an AI tool. Even if you
try, the AI might not fully understand how the entire website works together.
That’s because AI can read code, but it doesn’t truly understand the full
structure, purpose, or logic behind it. In this case, you need a skilled
programmer. It might take the programmer some time to find the issue, but they
can analyze the code, understand what’s wrong, and fix the bug. This shows that
when it comes to solving complicated problems, humans are still better than AI.
AI is not able to properly structure a program or set up its
architecture on its own. It can’t decide where files should go or how folders
should be organized. Tasks like connecting a database to a website still
require a human developer. While AI can assist by giving suggestions or guiding
the user, it cannot make these decisions by itself. Project structuring and
architecture require deep experience, strategic thinking, and an understanding
of the bigger picture—skills that only a human programmer can provide.
AI is not good at communicating with stakeholders. It cannot
effectively collaborate with the project manager, client, testers, or
deployment team. Every project needs discussions, feedback, and teamwork—things
only humans can handle properly. If there’s a problem in the design or a poor
user experience (UI/UX), AI can’t fully understand or feel what’s wrong. It
takes human communication, creativity, and teamwork to identify and fix such
issues. That’s why AI can assist in development, but it cannot replace the role
of a developer in a team environment.
Conclusion
Developers must understand that AI is a tool—not a
replacement. From everything discussed in this blog, one clear message stands
out: programmers should work with AI, not against it. AI is designed to support
developers, not take their place. However, it's also true that programmers who
do not keep up with modern tools and trends may fall behind. That's why it's
important for every developer to stay updated with the latest technologies,
coding practices, and design trends. Programming is a fast-moving field, and staying
current is key to staying relevant. Embracing AI as an assistant, not a threat,
is the smart way forward.
Anyone who wants to become a programmer should remember that
learning AI is important—but not compulsory. It’s a helpful skill, not a
requirement. A better suggestion for beginners is to first gain strong
knowledge and full command over their chosen field, whether it’s web
development, mobile apps, or any other area of programming. Only after building
a solid foundation should they enter the market. Rushing in without proper
skills can lead to failure and disappointment. Focus, practice, and mastery are
the keys to long-term success.
Developers must understand that AI is a tool—not a
replacement. From everything discussed in this blog, one clear message stands
out: programmers should work with AI, not against it. AI is designed to support
developers, not take their place. However, it's also true that programmers who
do not keep up with modern tools and trends may fall behind. That's why it's
important for every developer to stay updated with the latest technologies,
coding practices, and design trends. Programming is a fast-moving field, and staying
current is key to staying relevant. Embracing AI as an assistant, not a threat,
is the smart way forward.
Anyone who wants to become a programmer should remember that
learning AI is important—but not compulsory. It’s a helpful skill, not a
requirement. A better suggestion for beginners is to first gain strong
knowledge and full command over their chosen field, whether it’s web
development, mobile apps, or any other area of programming. Only after building
a solid foundation should they enter the market. Rushing in without proper
skills can lead to failure and disappointment. Focus, practice, and mastery are
the keys to long-term success.
Final Words
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