What Autumn Can Teach Us About Letting Go in Tech

Anyone who knows me knows that autumn is my favourite season. The leaves begin to change colour, the air gets cooler, and everything seems to slow down. To some, autumn represents an ending: the end of summer, shorter days, trees slowly letting go of their leaves. But I have always found something comforting in that. There is something about autumn that makes endings feel less like loss and more like a natural part of the process. Not everything that ends is something we have lost.

We don't look at a tree losing its leaves and assume something has gone wrong. We understand that it is making room for what comes next.

Technology is much less comfortable with this idea.

We Are Terrible at Letting Things End

The technology industry is obsessed with what is new: new frameworks, new tools, new AI models, new platforms, new ways of working. But we rarely talk about the other side of innovation: deciding what needs to end.

Developers know this particularly well. We inherit legacy code and keep maintaining it. We continue using tools because everyone already knows how they work. We hold onto workflows because changing them would be inconvenient. Sometimes we even hold onto professional identities long after the industry has moved on.

There is a strange assumption that everything we build should last forever.

It doesn't.

And it shouldn't.

Deprecation Is Not Failure

In software, things get deprecated all the time. A framework reaches the end of its life. An API is replaced. A library stops being maintained. A technology that once felt essential becomes unnecessary.

At first, this can feel like a loss. You invested time learning it. You built things with it. You became good at it.

But deprecation doesn't necessarily mean the technology was a mistake. It means it served its purpose. Something can have been valuable and still be finished.

The same is true of careers. The same is true of businesses. The same is true of versions of ourselves.

The Hardest Part of Change Is Identity

Technology changes quickly enough that our skills are constantly being tested. But the harder thing to replace is often the identity attached to those skills.

If you have spent years becoming “the WordPress person,” what happens when the industry moves toward something else? If you built your reputation around being the fastest developer on the team, what happens when AI changes what speed means? If your confidence comes from knowing exactly how to do something, what happens when the tools change underneath you?

The temptation is to resist. To protect what we already know. To prove that the old way was better.

But that can become a trap.

A career in technology cannot be built around staying the same.

Autumn Doesn't Ask Permission

There is something reassuring about the fact that nature doesn't negotiate with change.

The leaves don't stay on the tree because the tree is emotionally attached to them. Summer doesn't continue because we aren't ready for winter. One season ends because another one needs room to begin.

Technology works the same way. A new version requires an old version to be retired. A better workflow requires an old habit to be abandoned. A new career direction sometimes requires admitting that the previous version of your career has reached its natural endpoint.

That doesn't erase what came before.

It builds on it.

What We Keep Matters Too

But letting go doesn't mean throwing everything away. This is where the metaphor becomes more interesting.

A tree doesn't lose everything in autumn. Its roots remain. Its structure remains. Its ability to grow remains. Only what is no longer necessary is released.

That is probably the better model for navigating technology.

Keep the fundamentals. Keep the judgment. Keep the curiosity. Keep the ability to understand people, systems, constraints, and consequences.

Let go of the parts that are no longer serving you.

The syntax can change. The framework can change. The tools can change. The title on your LinkedIn profile can change. The underlying ability to think does not have to.

Every Ending Creates a New Baseline

Technology has a habit of making yesterday's impressive achievement feel ordinary.

That can be frustrating. It can also be useful. Every time the baseline rises, we are forced to decide what actually matters.

AI has made this especially obvious. If a machine can generate code in seconds, typing code is no longer the differentiator it once was. If a tool can produce a first draft instantly, producing a first draft is no longer particularly impressive. The value moves somewhere else: toward judgment, architecture, taste, and understanding the problem before reaching for the tool.

The work changes. The need to think does not.

Maybe We Need More Endings

We tend to celebrate beginnings. New jobs. New products. New technologies. New projects.

But endings deserve more attention.

Ending something can be an act of progress. Deleting the code that no longer belongs. Retiring the tool that has become a constraint. Leaving behind a professional identity that no longer fits. Admitting that something worked once but doesn't work anymore.

None of these things are failures. Sometimes they are evidence that you have outgrown something. Autumn is a reminder that growth isn't always about adding more. Sometimes growth looks like letting go.

And maybe that is one of the most useful lessons technology can teach us:

You don't have to carry every version of yourself into the future.

Some things are meant to end. That's what makes room for what comes next.