Will AI Replace Software Engineers? Why Hardware Expertise Still Matters
AI is changing software development, but understanding hardware, system architecture, and real-world engineering challenges remains essential.
When I was 30, I thought most of the software that needed to exist had already been written.
Sure, there would always be maintenance, upgrades, and new versions. But there was software for practically everything. How much more could we possibly need?
Turns out, I was spectacularly wrong.
Over the next three decades, I've watched demand for new software functionality consistently outpace our ability to deliver it.
Every new capability creates ten new expectations. Every problem we solve reveals five more we hadn't thought to ask about.
And now I'm hearing a familiar argument, just with different technology.
"AI is going to replace software developers."
"Most code will write itself."
"Why train junior developers when Copilot can do the work?"
Maybe some aspects of software development will become largely automated. That's already happening.
But after three decades in this industry, I've learned something.
The work doesn't disappear. It changes shape.
Will AI Replace Software Developers?
AI coding tools are already changing how software gets built.
They can generate code, suggest solutions, automate repetitive tasks, and help developers work more efficiently.
And they're getting better quickly.
But generating code is only one part of software engineering.
Software engineering also requires defining requirements, designing architecture, integrating hardware, testing performance, and ensuring the finished product solves the right problem.
AI can help with these activities, too. But engineering judgment remains essential.
And as development gets faster, customer expectations rise.
Manufacturers want shorter timelines, more sophisticated features, and systems that integrate with technologies that weren't practical just a few years ago.
The bar keeps getting raised.
Why Does Hardware-Aware Software Engineering Still Matter?
Consider some of the software challenges we're solving today.
In 1995, nobody was developing today's firmware for satellite-connected sensors on commercial fishing vessels, accessible through mobile phones and web applications.
Nobody was building the same kinds of real-time processing systems for sophisticated sonar equipment operating on a rolling deck in the North Atlantic.
And nobody was tackling today's challenges of synchronizing critical operational data and configurations across networks where bandwidth is measured in kilobits, connectivity is intermittent, and the hardware is underwater.
These problems emerged as hardware, connectivity, and software capabilities advanced.
And they illustrate why developing software for physical products involves more than generating code.
Embedded software must work within the constraints of the hardware and its operating environment.
Processing power, memory, energy consumption, sensor accuracy, connectivity, and safety all influence software design.
A perfectly reasonable solution for a cloud application might be completely inappropriate for a battery-powered sensor deployed offshore.
AI may help write the code, but engineers still need to understand those constraints and verify that the system works reliably.
What Skills Will Software Engineers Need in an AI-Driven World?
The developers who thrive won't necessarily be the ones who can write code faster than AI.
They'll be the ones who understand the entire system.
That means understanding hardware, software architecture, operating conditions, and the business problem underneath the technical requirements.
It also means having strong people skills.
Good engineering requires asking the right questions, working with stakeholders, recognizing tradeoffs, and translating business needs into practical solutions.
Sometimes a customer asks for a particular feature when the real problem calls for a different approach.
Recognizing that distinction is part of what makes an experienced engineer valuable.
AI can accelerate development, but it doesn't eliminate the need for that expertise.
The Future of Software for Hardware
At ROK Software, we're enthusiastic about AI development tools and the opportunities they create.
But we're equally convinced that the most valuable engineers are those who understand the hardware, the application, and the customer's business objectives.
Thirty years ago, I underestimated how much software the world would need.
I'm not making that mistake again.
The code isn't already written. And AI isn't the end of software engineering. It's the beginning of another chapter.
Need Software Engineers Who Understand Your Hardware?
Whether you're developing a new connected product, modernizing embedded software, or adding capabilities to existing equipment, successful development takes more than code.
ROK Software brings experienced software engineers who understand the complexities of hardware-driven products—from architecture and embedded development to connectivity and system integration.
