The $7B Reason to Stop Looking for One AI Tool to Rule Them All
Stripe just bought OpenRouter for $7 billion. Read the room. A payments company paid the price of a mid-size unicorn for what is, fundamentally, a routing layer that picks the right model for each request.
The takeaway is not "Stripe is expanding into AI." The takeaway is that specialization has value again. The story hit Hacker News this week and the conversation there is worth reading if you build with LLMs.
The tool-for-the-job problem
For about eighteen months, everyone tried to jam every problem into whichever chat interface they liked best. Product decisions, ask GPT. Code, ask Claude. Marketing copy, whichever one is open in a browser tab.
The pendulum is swinging back. Real teams are learning that generic AI is useful for a lot and great at very little. The best results come from tools that were actually built for a specific job.
OpenRouter figured that out for models. Different models are better at different tasks, so route each task to the right one. The market apparently agrees this is worth billions.
Now apply it to building apps
Here is where the same lesson lands for anyone building software.
You can build an app by pasting requirements into a generic chatbot. You can also chop wood with a paring knife. Neither is efficient.
Generic AI does not know what a signup flow needs. It does not know that a Korean SaaS needs KakaoPay, not Stripe. It does not know that you probably want a rollback button before you ship. It cannot pre-configure your database, auth, or notifications, because those are not part of its job. It is a chatbot.
An AI builder trained specifically to build apps knows all of this. It knows that "add a paid tier" means defining plans, wiring the payment gateway, and putting an entitlement check on the right features. Not one of those things. All of them.
When each tool wins
Use a generic chatbot when your problem is a conversation. Brainstorming. Writing. Explaining. Debugging a specific error.
Use a specialized builder when your problem is a system. Something has to be deployed. Something has to be live. Something has to survive Monday-morning traffic.
The pitch, quickly
DontCode is the specialized version for building web apps. The model is fine-tuned for app generation. Auth, database, deployment, KakaoPay, Toss, and PayPal all come pre-configured. You describe what you want. It ships to a live URL with SSL.
There is no fight to make a generic assistant care about your users, your regions, or your payment rails. That work is already done.
If you have been forcing the wrong tool onto app building, take a look. If you just want more on the state of AI tooling, we write about it on the blog.