Not too long ago, I wrote about how amazed I was by AI image generation. You can read that article here. Since then, my focus has shifted to another AI superpower that’s fascinating: software development. Specifically, the way AI is transforming code refactoring and debugging.
I wouldn’t call myself a seasoned developer. I didn’t major in computer science, nor have I worked in an environment where I could learn from top-tier software engineers. Most of what I know has been self-taught, which means, I’m keenly aware that there are gaps in my knowledge. I’m pretty sure some of the code I’ve written would make experienced developers cringe. Fortunately, the beauty of software development is that end users don’t usually get to see how the sausage is made. What they care most about is that it works.
Historically, my priority has been functionality over elegance. If the code works, I tend to leave it alone. But recently, I decided to take the plunge and sign up for ChatGPT Plus, integrating it into my development workflow in Visual Studio Code and Xcode. The results have been eye-opening.
In just a week, AI has:
- Helped me write more efficient code that executes faster.
- Introduced me to libraries and functions I didn’t know existed.
- Diagnosed flaws in my approach and suggested better alternatives.
- Played the role of a tutor, teaching me in very simple terms how certain functions worked.
- Explained the root causes of bugs, even those with cryptic error messages thereby saving hours of frustration (the new DeepSeek AI app from China was particularly good at this).
As I continue to refine my codebase, I’m incorporating these AI-driven insights into existing and new projects. This experience has led me to wonder: What does the rise of AI mean for the future of software development? What are the implications for those currently pursuing degrees in computer?
The Future of Software Engineering in an AI-Driven World begs a few questions.
Do we still need to hire expensive engineers with degrees from the likes of Stanford and MIT to build complex software? The competitive advantage they once held, a presumably better education or perhaps just smarter, seems to be eroding, especially at the entry level.
When interviewing software developers, should candidates be required to solve complex problems on the spot? What’s the point when, in a real-world setting, they’ll likely rely on AI for guidance and solutions?
Will AI encourage even more companies to outsource software development to lower-cost regions now that AI can help them quickly review the end product to ensure quality control?
Will more people pursue software development as a profession now that AI can help them write great code or will they run for the hills under the assumption that their skills will become commoditized.
These questions won’t be answered overnight, but one thing is becoming clear: raw brainpower alone is no longer the primary competitive advantage in software development. Instead, the edge will go to those who:
- Master AI-assisted development tools.
- Possess a deep understanding of the capabilities of the platforms they’re building on.
- Leverage their unique creativity and life experiences to bring everything together in a way that feels seamless and innovative.
The role of the software developer is evolving. AI hasn’t replaced developers but it’s certainly supercharging those who aren’t great and augmenting those who are.
Those who learn how to harness these tools effectively will be the ones shaping the future of software development.
Originally published on Medium on February 4, 2025.
