Athira Sethu
Kochi, 5 April 2025
With the emergence of AI tools such as ChatGPT, it is natural to ask whether engineers need to learn to code. AI can code, debug, and even help solve issues. This could lead one to believe that coding is no longer a requirement. Nevertheless, coding is still extremely necessary for engineers in the AI era. Let us find out why.
What Does AI Do for Engineers?
AI is transforming the way software is created. AI tools can assist in writing code quicker and perform simple tasks, freeing up engineers’ time. However, AI does not replace engineers. It assists them in doing their job better and quicker. Just as calculators did not replace math teachers, AI will not replace software engineers.
Why Engineers Still Need to Learn to Code
- AI Doesn’t Get the Entire Problem: AI can generate some code, but it doesn’t really get what the problem is. For instance, if engineers are developing an app to assist individuals with health issues, AI may generate some code, but it won’t be aware of privacy legislation or what users require. Engineers still have to apply their expertise to ensure the app functions correctly.
- Problem-Solving: Coding is solving problems. AI can assist by coding a bit, but engineers are the ones who determine the best approach to solve the problem. It requires thinking and creativity, which AI is unable to do.
- AI Requires Human Intervention: AI may generate code, but it cannot verify whether it is correct. Engineers are required to ensure that the code runs efficiently. Even if AI generates code, human beings must review it and correct any errors.
What Are Engineers Required to Do in the AI Age?
To remain relevant in an age with AI, engineers must concentrate on a number of things:
- With AI Tools: Engineers need to learn how to use AI so that it assists them. Learning how to give AI good input and correct bugs in the code AI produces means this. Engineers, however, need to have the fundamentals of coding first.
- Creativity: AI might be able to follow a pattern, but it cannot generate something new. Engineers must be innovative in order to come up with new solutions for problems.
- Communication: AI is unable to substitute abilities such as conversing with people and explaining concepts. These abilities remain valuable for engineers when collaborating with groups.
AI is transforming the way engineers work, but it will not make coding obsolete. Engineers who are trained to use AI tools and still possess the knowledge of how to code and solve problems will never be obsolete. Becoming a coder is still relevant, but engineers now have to be prepared to let AI assist them in working smarter.
