Backyard Corn and the Future of SaaS

I can technically grow corn.

I have access to dirt, sunlight, the internet, and more confidence than agricultural competence. If I really committed, I could probably produce something vaguely corn-adjacent in my backyard.

That does not mean I am about to replace farms.

That is roughly how I feel every time I see the newest wave of "AI agents will kill all SaaS" discourse.

The argument usually goes like this: if people can now vibe code their own tools, or send agents to click around software on their behalf, then why would anyone keep paying for SaaS? Why rent software when the means of software production are suddenly in everybody's hands?

It is a good question. It is also the kind of question that sounds smarter at 11:30 PM on X than it does in the harsh light of operating reality.

The Panic Is Not Totally Wrong

To be fair, something real has changed.

The cost of creating software has dropped. The cost of experimenting has dropped. The cost of replacing small pockets of workflow friction with custom code has dropped hard.

That matters.

A bunch of software that used to deserve a whole startup can now be replaced by:

• a script
• an internal tool
• a weekend project
• a reasonably competent person and a patient LLM

I think this is why the conversation feels so intense right now. People are not hallucinating the shift. They are just overextending the conclusion.

Lowering the cost to produce software does not automatically eliminate the value of productized software.

It just changes what kind of value survives.

Capability Is Not Infrastructure

This is the part I think people keep missing.

Being able to make something yourself is not the same as wanting to own the full system behind it.

I can cook dinner. I still go to restaurants.

I can grow food. I still participate in the agricultural supply chain like a civilized person.

Because what I am paying for is not raw possibility. I am paying for consistency, throughput, specialization, and the fact that someone else already absorbed a pile of complexity so I do not have to.

That is what farms do.

And it is also what the best SaaS companies do.

What SaaS Companies Actually Sell

At their best, SaaS companies do not just sell screens and CRUD.

They sell a package that looks more like this:

• a strong opinion about how a workflow should run
• reliability under real production messiness
• integrations with the rest of the stack
• shared data models across teams
• permissions, audit trails, and compliance controls
• ongoing maintenance as the environment changes
• support when something breaks at exactly the wrong time
• a roadmapped product instead of a personal side project with no owner

This is where the "I can just build it myself" argument starts to wobble.

Can you build a tool for yourself with AI help? Absolutely.

Can you build the surrounding system, maintain it, secure it, integrate it, train a team on it, handle edge cases, and keep it useful six months later after your priorities change?

Sometimes yes.

Often no.

And in many organizations, "no" shows up right after the demo.

Why Farms Still Exist

Gardening did not kill farming because farming was never just "the ability to produce food."

Farming bundles a much larger system:

• specialized knowledge
• equipment and capital
• storage and distribution
• yield optimization
• quality control
• risk management
• labor coordination
• economies of scale

The backyard gardener and the farm are not actually selling the same thing.

One produces food. The other produces a dependable food system.

That distinction matters.

SaaS works the same way.

Yes, AI makes it easier to create software. Yes, agents can increasingly navigate interfaces, stitch together APIs, and perform tasks that used to require a human in the loop.

But most companies are not paying for software because they lack the abstract ability to write code.

They are paying because they want a dependable system around a workflow they cannot afford to babysit.

The Graveyard Will Be Real, Just Not Total

Now for the part the panic does get right: some SaaS companies are in trouble.

If your product is basically a thin wrapper over a simple workflow, AI is coming for you.

The risk zones are pretty obvious:

• products that mainly save users from writing a few repetitive steps
• tools with little data gravity
• interfaces that expose no meaningful workflow opinionation
• software that is easier to rebuild than to buy
• pricing built on artificial scarcity, not actual leverage

That layer of SaaS should feel pressure. A lot of it deserves to.

AI is very good at compressing the value of software that was mostly packaging, markup, and inconvenience arbitrage.

But that is very different from saying "all SaaS dies."

That is like noticing people can grow tomatoes at home and concluding Kroger should be nervous about civilization ending.

Agents Still Need Good Systems to Sit On Top Of

There is another irony here.

A lot of the people arguing that agents will replace SaaS are quietly describing a future where agents need stable systems, structured data, permissions, APIs, predictable workflows, and clean integration surfaces.

That is not anti-SaaS.

That is just better SaaS.

Agents do not eliminate the need for software infrastructure. They increase the value of well-designed infrastructure because agents work best on top of structured systems.

Agents love APIs. Agents love clean data models. Agents love predictable workflows.

The more automation we build, the more valuable those systems become.

Agents thrive when:

• the workflow is clearly defined
• the system exposes good interfaces
• the data model is stable
• the failure modes are understood
• actions are reversible and auditable

A chaotic stack full of tribal knowledge and half-maintained internal tools is not some post-SaaS utopia. It is just a rough neighborhood for automation.

The winners here may be the companies that make themselves easiest for agents to use, not the ones pretending agents make product unnecessary.

AI Removes the Excuse for Mediocre SaaS

The better framing is not "AI kills SaaS."

It is that AI removes the excuse for mediocre SaaS.

When software creation gets cheaper, the bar for packaged software goes up.

You cannot just exist anymore. You have to justify why your product should continue to exist as a product.

That usually means one or more of the following:

• you aggregate demand or supply at scale
• you centralize messy operational knowledge
• you reduce risk in ways DIY solutions do not
• you create network effects or data advantages
• you save teams from maintaining brittle internal tooling
• you become the system of record that everything else depends on

In other words, you stop selling "we built the form so you do not have to" and start selling "we run this function better than you should want to yourself."

That is a healthier market, honestly.

A Good Founder Test

If I were evaluating a SaaS business right now, I would ask one blunt question:

If the customer had an excellent internal engineer plus strong AI tooling, what would still be painful for them to replicate?

If the honest answer is "not much," you have a problem.

If the answer is:

• operational reliability
• distribution
• compliance posture
• multi-team coordination
• domain-specific edge cases
• integration depth
• trust

then you probably still have a business. Maybe a better one than before, because the weak competitors get washed out first.

Final Take

Backyard gardens are real. Farms are still real too.

AI agents will help people build custom tools, replace weak products, and consume software in new ways. That is a meaningful shift. It will absolutely rearrange parts of the SaaS landscape.

But the existence of new production capability does not erase the value of scale, infrastructure, and operational excellence.

That was true for food. It is true for software.

The future is not "no more SaaS."

The future is that SaaS has to be more like farming and less like selling seed packets with venture funding.