Why "Just Build an Integration" Is a Lie Developers Tell Themselves

Every developer has said it. "Yeah, we can integrate with that system. Shouldn't be too hard. I'll knock it out in a couple days."

The problem isn't the difficulty. It's that integrations are deceptively complex, and we consistently underestimate them.

What Actually Happens When You "Just Build an Integration"

You start with the vendor's API documentation. It's incomplete. You email their support team. They respond in 3-5 business days. You discover the docs don't match the actual API. Back to support.

You build the happy path. It works. Then you discover edge cases. What happens when the vendor's server is slow? When the connection drops mid-request? When they change the API without warning? (This happens more often than you'd think.)

You add retry logic. Then exponential backoff. Then circuit breakers. Your "simple integration" is now 2,000 lines of production code. You need tests. You need monitoring. You need to handle API versioning when they inevitably deprecate their old endpoints.

One developer is now maintaining this. When they go on vacation, nobody else understands it. When the vendor changes something, it breaks at 2 AM. Your pager goes off.

This isn't complexity that adds value to your business. It's complexity that exists because two systems have different opinions about how to do things.

The Industrial Systems Problem Is Worse

General SaaS integrations are hard. Integrating industrial systems is harder.

Why? Because industrial systems were often built decades ago. Their APIs weren't designed for modern integration patterns. Some don't have APIs at all—you're working with legacy SOAP endpoints or screenscraping. Authentication is inconsistent. Data models are weird. One system uses ISO 8601 dates, another uses UNIX timestamps, another uses a completely custom format.

And you need multiple of these systems to talk to each other. Not as a nice-to-have. As a requirement for operations.

A manufacturer needs their ERP to sync with their CMMS (computerized maintenance management system). They need their WMS (warehouse management) to feed into their logistics planning. They need asset management data flowing back to maintenance. Each connection is a separate integration problem.

Most companies end up with a spaghetti mess of custom connectors, each one brittle, each one needing ongoing maintenance.

The Cost Is Hidden Until It's Too Late

Here's what happens: You build three integrations. They work. Life is good. Then you need to add a fourth system. Your developers groan because they know what's coming.

By the time you have six systems integrated, you've accidentally built a distributed ETL platform. Nobody planned it. It just happened. And now you have this thing you have to maintain forever.

A significant portion of your engineering resources goes to babysitting these integrations instead of building product. This cost is so normalized that companies often don't realize how much they're paying.

Until they try something different.

The Pattern Everyone Misses

We spent years watching industrial companies solve integration problems. Every single one went through the same evolution:

1. Build one integration. "This is fine."
2. Build a second. "Okay, we have a pattern now."
3. Build a third. "We should maybe abstract this..."
4. Build a fourth. "Oh no, we've reinvented half of an iPaaS."
5. Realize they're spending 30% of engineering time on integration work.

At step 5, they have two options: Keep paying the cost, or look for a platform designed for this specific problem.

Most choose to keep paying. Path dependency is powerful.

What If Integration Was Boring?

Not simple. Boring. Actually, genuinely boring—the kind of infrastructure that just works and you never think about.

What if you could connect a new industrial system in an hour? Not weeks. Not months. An hour. Configuration, not custom code.

What if when a vendor updated their API, you didn't have to do anything? Someone else handles it.

What if your developers could spend their time on things that differentiate your product instead of plumbing?

That's what happens when you stop thinking of integration as a one-off engineering challenge and start treating it as infrastructure.

The Makini Perspective

We built an API specifically for industrial integrations because we got tired of watching companies solve the same problem over and over. Not just at different companies—at the same company, for different system combinations.

Your ERP connector and your CMMS connector aren't fundamentally different problems. They're the same problem with different vendor APIs. An abstraction layer could eliminate 80% of the engineering work.

That's what Makini is. An abstraction layer for industrial systems. Not universal. Not solving every integration problem. Just solving this one.

Pick your systems. Authenticate. Build your business logic. Let someone else worry about the vendor API details.

The Uncomfortable Truth

Most integration projects overrun. Most integration code is fragile. Most developers building integrations are solving problems that have already been solved a hundred times before.

We've accepted this as normal. It shouldn't be.

If you're managing integrations between industrial systems, you don't have to keep paying this cost.

Start at makini.io and see what actually fast industrial integration looks like.