The "€50 Tool" Trap: How AI Builders Accidentally Assemble a €200 Stack
A few days ago I tried to save €50.
That was the entire plan.
I had restarted a side project using an AI coding tool and things were going well. The workflow was simple: write a quick PRD, generate some code, iterate, repeat. It felt like cheating in the best possible way.
Then a friend gave the classic advice:
Drop that tool. Use another one. You'll save the €50.
Reasonable suggestion.
So I tried it.
The moment everything escalates
The new tool took a bit of effort to get running.
The setup felt clunky. Some bugs here and there. Not nearly as smooth as what I had been using before.
But then something interesting happened.
Once the workflow clicked, the entire building process changed.
Suddenly I wasn't just generating a piece of code. I was running multiple things in parallel:
- experimenting with the website
- adjusting the backend
- creating small automation scripts
- iterating on UI ideas
- wiring up APIs
Instead of working linearly, I was orchestrating multiple micro-projects at once.
And at some point around 2:30am the inevitable thought appeared:
If I'm doing this seriously… I might as well do it properly.
The modern indie builder starter pack
And that's when the stack quietly assembles itself.
First come the obvious pieces:
- Supabase for backend and database
- Netlify or Vercel for hosting
- a domain name
- OpenAI API credits
Nothing dramatic yet.
But the AI tooling is where things start to compound.
You try a second coding assistant.
Maybe a different IDE environment.
Then a quick site generator.
A workflow automation tool.
Each one solves a slightly different part of the building process.
Individually they feel cheap.
Together they quietly turn into a real monthly stack.
The surprising truth about AI tooling
The funny part is this:
You rarely replace a tool.
You add another one.
Each AI tool has different strengths:
- one is incredible for quick prototyping
- another is better for full-stack generation
- another is great for debugging or refactoring
- another becomes your experimental sandbox
So instead of switching tools, builders start assembling a complementary toolkit.
AI tools behave less like software products and more like specialized collaborators.
Each one is good at a slightly different job.
The new developer workflow
What emerges from this is a very different way of building software.
Not the old model of one IDE, one repo, one environment.
Instead, a modern AI builder often operates something closer to a creative production studio.
Different tools assist different phases:
- AI IDEs help with rapid code generation
- cloud backends remove infrastructure friction
- automation tools glue workflows together
- language models assist with debugging, docs, and logic
The builder becomes less of a coder and more of a system orchestrator.
The real reason people accept the cost
At some point the monthly stack crosses €100.
Sometimes €200.
And surprisingly, nobody complains.
Because what these tools really buy you isn't software.
They buy momentum.
The feeling that you can take an idea and turn it into something real in a single evening.
That kind of creative acceleration is addictive.
The real cost isn't the subscription stack.
It's going back to building without it.
The "€50 saving" paradox
So yes.
I tried to save €50.
Instead I ended up with a much larger stack of tools.
And interestingly, I didn't drop the original one.
I kept both.
Because each one made building slightly easier, slightly faster, slightly more fun.
Which might be the real story behind the current AI builder boom:
We are not replacing tools.
We are assembling personal AI engineering teams.
One subscription at a time.
If you're curious how this kind of AI-assisted workflow looks in practice while building a real product, I'm sharing parts of the journey while building Outcomet.
Follow along if you're interested in modern product building.
