{"id":6914,"date":"2026-09-23T10:03:09","date_gmt":"2026-09-23T04:33:09","guid":{"rendered":"https:\/\/www.lpu.in\/blog\/?p=6914"},"modified":"2026-09-23T10:03:09","modified_gmt":"2026-09-23T04:33:09","slug":"ai-is-changing-coding-what-should-cse-students-learn-now","status":"publish","type":"post","link":"https:\/\/www.lpu.in\/blog\/ai-is-changing-coding-what-should-cse-students-learn-now\/","title":{"rendered":"AI Is Changing Coding: What Should CSE Students Learn Now?"},"content":{"rendered":"
\r\n
\r\n \r\n <\/i>\r\n <\/a>\r\n <\/span>\r\n<\/div><\/div>

For years, learning to code meant spending hours writing programs, debugging errors, searching documentation, and gradually understanding how different technologies work. Today, a CSE student can describe a problem to an AI tool and receive a working piece of code within seconds.<\/span><\/p>\n

That changes the way we write software. <\/span>It also raises an important question for every <\/span>B.Tech in Computer Science and Engineering<\/a> student and graduate:<\/span><\/p>\n

If AI can generate code, what should you learn now?<\/b><\/p>\n

The answer isn’t to stop learning programming. It is to understand programming at a deeper level and learn how to work effectively with AI.<\/span><\/p>\n

Artificial intelligence<\/a> is changing software development, but it hasn’t eliminated the need for engineers. Instead, it is changing what engineers are expected to do\u2014and the <\/span>B.Tech CSE skills<\/b> that will matter most.<\/span><\/p>\n

AI Can Write Code. Can You Understand It?<\/b><\/h2>\n

One of the biggest changes brought by generative AI is the ability to produce code quickly.<\/span>
\n<\/span>AI tools can help generate functions, explain errors, suggest improvements, write test cases, and even create parts of an application. This can significantly reduce the time required for routine coding tasks.<\/span><\/p>\n

But generated code isn’t automatically correct.<\/span><\/p>\n

It may contain bugs, security vulnerabilities, inefficient logic, outdated approaches, or assumptions that don’t match the actual requirements.<\/span><\/p>\n

This creates an important distinction:<\/span><\/p>\n

Using AI to generate code is not the same as knowing how to engineer software.<\/b><\/h4>\n

A strong Btech CSE<\/a> student should be able to read AI-generated code, understand its logic, identify potential problems, test it, and modify it when necessary.<\/span><\/p>\n

The better your fundamentals, the better you can judge what AI produces.<\/span><\/p>\n

Don’t Abandon Programming Fundamentals<\/b><\/h2>\n

When technology changes, fundamentals become even more important.<\/span><\/p>\n

Concepts such as data structures, algorithms, object-oriented programming, databases, operating systems, computer networks, and software engineering principles remain valuable because they help you understand what is happening beneath the tools you use. These <\/span>programming fundamentals<\/b> are also among the most important <\/span>technical skills for CSE students<\/b>.<\/span><\/p>\n

Imagine receiving a complex piece of code from an AI assistant.<\/span><\/p>\n

If you understand the underlying concepts, you can ask:<\/span><\/p>\n