You get the message at 2 PM on a Friday. "The workflow stopped working." Your client is frustrated. You're frustrated. And here's the thing that actually makes you want to scream: you have no idea why.
You built the automation in Make or Zapier or Workato. It worked fine for weeks. Then suddenly it didn't. But unlike regular code where you can open a terminal and see exactly what happened, you're staring at a dashboard that basically says "error" and nothing else. Was it the API that failed? Did the data format change? Did something break in step 7 of 12? Who knows.
So you do what everyone does. You rebuild it. Or you add more error handling steps. Or you just... hope it doesn't happen again.
But here's the contrarian thing that nobody wants to admit: the problem isn't that low-code automation is broken. The problem is that we've all accepted that debugging it is supposed to be impossible.
We've normalized something that would never fly in traditional software development. Imagine if you deployed code to production and the only feedback you got was "something failed somewhere." You'd lose your mind. You'd demand logs. You'd want to see the exact line that broke. You'd want to replay the execution step by step.
But with low-code platforms? We just... accept it. We've convinced ourselves that this is the tradeoff. You get speed and simplicity, so you lose visibility. That's the deal.
Except it doesn't have to be.
I started thinking about this because I was freelancing and building automations for clients. Small stuff mostly—syncing data between tools, automating email sequences, that kind of thing. And every single time something broke, I'd spend hours trying to figure out what happened. I'd add logging steps. I'd create test workflows. I'd manually run through the process trying to reproduce the issue.
It was insane. And the worst part? My clients would ask me "what went wrong?" and I'd have to say "I'm not sure yet, let me investigate." That's not a great look when you're supposed to be the expert.
Then I realized something. The platforms themselves have all this data. Make knows exactly what happened in each step. It knows what data came in, what data went out, where the failure occurred. But they don't show you most of it. You get a summary. You get an error message if you're lucky. That's it.
So the real issue is this: we've accepted that low-code platforms should hide the details from us, when actually they should be showing us everything.
Think about it from a different angle. When you use a low-code platform, you're trading coding ability for speed. You don't need to write Python or JavaScript. You just click buttons and connect things. That's the whole value prop. But that trade-off shouldn't extend to debugging. Debugging isn't about coding ability—it's about visibility. It's about understanding what your system is doing.
The platforms could show you this stuff. They have the data. They just... don't. And we've all just accepted that as normal.
I've talked to dozens of people building automations, and they all have the same workflow when something breaks: panic, add logging steps, rebuild parts of the workflow, test manually, hope it works. Nobody's happy with this. But everyone does it because they think there's no alternative.
Here's what I think needs to change. Low-code platforms need to treat debugging like a first-class feature, not an afterthought. That means:
Show the actual data flow. Not a summary. Not a vague error message. Show me exactly what data moved from step 1 to step 2 to step 3. Show me the JSON. Show me what the API returned. Show me what got passed to the next step. This is basic stuff that traditional code has had for decades.
Make it easy to replay. If something broke, I should be able to replay that exact execution with the exact same data. Not rebuild it. Not test it manually. Just... replay it. See what happens. Change something. Replay again. This is how debugging works in real development environments.
Give me actual logs. Not "error occurred." Tell me which step failed. Tell me why. Tell me what the error message was. Tell me what the system was trying to do when it failed. This is table stakes for any system that runs code.
Let me search and filter. If I have 100 workflow executions and 5 of them failed, I should be able to filter to just the failed ones. I should be able to search for specific data. I should be able to see patterns.
None of this is revolutionary. This is just... how debugging works. We've had these tools for decades in traditional software development. But somehow when we moved to low-code, we decided that visibility was optional.
The thing that gets me is that this isn't a technical limitation. The platforms have all this data. They're just not showing it to you. It's a product decision, not a capability decision.
And I think that's starting to change. People are getting tired of the guessing game. Freelancers and small agencies are building more complex automations, and they need better tools to understand what's happening. In-house teams are running critical business processes on these platforms, and they can't afford to spend hours debugging when something breaks.
So if you're building automations right now and you're frustrated with debugging, you're not crazy. The tools really are hiding information from you. And you shouldn't have to accept that.
The good news? There are people working on this. Better visibility tools are coming. Platforms are starting to realize that debugging is a feature, not a luxury. And the more people demand it, the faster things will change.
In the meantime, if you're stuck debugging a broken workflow, at least you know you're not alone. And you know that the problem isn't you—it's that the tools are designed to hide the information you need.
Oh, and if you're using Make specifically and you're tired of the guessing game, I built something that might help. It pulls your workflow execution logs and shows you exactly what happened at each step, what data moved between steps, and lets you search through everything. It's at flowdebug-iq67it7gc-alekos-projects-460515ef.vercel.app if you want to check it out.
But honestly, the bigger point stands regardless of what tool you use. Low-code platforms should show you what's happening inside your automations. That's not a nice-to-have. That's a requirement.