The Technology Nobody Knows How to Fix Anymore

The Technology Nobody Knows How to Fix Anymore

Technology has come a long way in the last few decades. We have artificial intelligence writing code, computers that fit in our pockets, and the ability to deploy applications across the world in minutes.

But somewhere out there, there's a computer from 1987 still doing its job. There are pagers, still paging pushing health data like the day it was brought into the hospital. 

And there's a good chance the guy who knew everything about it retired ten years ago.

That might sound like a joke, but it's becoming a genuine problem. Some of the systems we depend on every day were developed decades ago, using programming languages, equipment, and techniques that aren't nearly as common anymore.

The equipment hasn't necessarily stopped working. The knowledge needed to keep it working is what's disappearing.

The Systems That Refuse to Die

When we think about outdated technology, most of us probably picture an old Windows XP computer sitting in someone's garage.

But legacy technology isn't limited to somebody refusing to throw away their old desktop.

Banks, government agencies, manufacturing facilities, and transportation systems all have histories of relying on technology that predates many of today's software developers.

Some of these systems have survived because they are extremely reliable. Others remain because replacing them would be expensive, complicated, or risky.

Consider a piece of industrial equipment that's been running for 30 years. It does exactly what it was designed to do, and the company has built an entire process around it.

Why would anyone replace it?

Well, maybe they shouldn't.

But what happens when it finally breaks?

COBOL: The Language That Won't Go Away

One of the best examples of this problem is COBOL.

COBOL, short for Common Business-Oriented Language, dates back to 1959. It was designed primarily for business applications, particularly those involving large amounts of data and financial transactions.

You would think a programming language from the 1950s would be little more than a historical curiosity by now.

You'd be wrong.

COBOL has remained important in banking, government, and other enterprise environments. In fact, the U.S. Government Accountability Office has repeatedly identified aging government systems that still depend on COBOL and other older programming languages.

The problem isn't necessarily that COBOL doesn't work. It's that fewer developers are familiar with the language and, perhaps more importantly, the systems built around it.

A developer might learn COBOL syntax without too much trouble. Understanding 40 years of business rules, exceptions, modifications, and undocumented decisions is another matter entirely.

And that's where things get interesting.

When the Documentation Is a Person

Imagine working at a company that developed an internal application in 1995.

Over the years, different developers modified it. Features were added, bugs were fixed, and business requirements changed.

Unfortunately, not every modification made it into the documentation.

Eventually, one employee became the person everyone went to when something broke.

He knew why a particular process couldn't be changed. He remembered why certain calculations worked differently. He knew which parts of the system looked unnecessary but actually served an important purpose.

Then he retired.

The source code is still there. The application still runs. But the understanding behind decades of decisions just walked out the door.

This is sometimes called institutional knowledge, and losing it can be more damaging than losing the technology itself.

A replacement developer might be perfectly capable of reading the code. That doesn't mean they'll immediately understand why it was written that way.

Sometimes the strangest-looking piece of code exists because it solved a problem nobody remembers having.

Remove it, and you might get a reminder.

Even NASA Has to Work Around Aging Technology

One particularly fascinating example comes from NASA's Voyager 1 spacecraft.

Launched in 1977, Voyager 1 has continued operating far beyond its original planetary exploration mission.

In 2024, NASA engineers traced a communications problem to damaged memory in one of the spacecraft's onboard computers.

They couldn't simply replace a component, reboot a modern server, or install a new computer.

Instead, engineers developed a way to relocate portions of the spacecraft's code into other available areas of memory, adjusting the code so the different sections would still function together.

And it worked.

Voyager 1 began transmitting readable engineering data again.

This isn't exactly a case of nobody knowing how to fix the technology. NASA demonstrated that the expertise still existed. But it shows just how specialized maintaining old systems can become.

Sometimes repairing old technology requires a level of understanding that modern tools alone can't replace.

Can We Just Replace Everything?

Modernization sounds like the obvious answer.

Replace the old hardware. Rewrite the software. Move everything to modern infrastructure.

Problem solved, right?

Not necessarily.

Replacing a legacy system can introduce problems of its own. Existing workflows may depend on undocumented behavior. Employees may need retraining. Connected equipment may not support newer software.

And even if the replacement works perfectly in testing, that doesn't guarantee every unusual business scenario has been accounted for.

There are certainly times when replacing old technology is necessary, especially when security vulnerabilities, unavailable parts, or unsupported software make continued operation dangerous.

But replacing technology simply because it's old isn't always a sensible decision.

The challenge is knowing when the risk of keeping it outweighs the risk of replacing it.

We're Creating Tomorrow's Legacy Systems Right Now

Here's something worth considering.

The applications being developed today will eventually become legacy technology themselves.

Some will disappear in a few years. Others could remain in operation for decades.

A developer writing code today might be creating something another developer will have to understand in 2055.

Will the documentation be there?

Will anyone understand the decisions that went into building it?

Will the tools needed to maintain it still exists?

We spend considerable time discussing new programming languages, frameworks, and development tools. Perhaps we should spend a little more time discussing how to make the software we build understandable to the people who come after us.

Documentation, maintainable code, knowledge sharing, and sensible modernization plans aren't particularly exciting topics.

But they're important.

The Real Problem Isn't Old Technology

There's nothing inherently wrong with a computer, application, or piece of machinery being old.

If it works, meets its requirements, and can be maintained safely, age alone isn't much of an argument for replacing it.

The real problem begins when an organization depends on technology it no longer understands.

A system that nobody can repair is eventually going to become a liability, regardless of how reliably it operated for the previous 30 years.

And as developers and engineers, perhaps that's something worth remembering.

Someday, the code we're so proud of writing today might become somebody else's 40-year-old headache.