An AI code generator you can check
Generating code is close to solved and checking it is not; pointing generated code at a live market turns correctness from a matter of judgement into something the data contradicts within seconds when it is wrong.
Generating code is close to solved. Knowing whether the generated code is correct is not, and that gap is where most of the disappointment with these tools lives.
Plausible code is the problem, not broken code
Code that fails to compile is caught immediately and costs nothing. Code that runs, looks reasonable and is subtly wrong is the expensive kind, and a model producing it has no way to notice. Nothing in the loop ever tested it against reality.
A live source is a test you cannot fake
Connect the generated code to a real market and correctness stops being a matter of opinion. A price that does not match the exchange is visibly wrong. A rate calculated with the wrong divisor produces an absurd number rather than a plausible one. The feedback is immediate and it does not depend on anyone reviewing the code.
What that looks like in practice
Twenty three public endpoints, no key required, covering markets that move constantly. Generated code here reads them at request time, so a mistake shows up on screen within seconds instead of surviving into something somebody trusts.
What this does not fix
It does not make generated code good, and it does not remove the need to read it. It removes one specific failure, the confident wrong answer that nothing in the process was able to challenge. That is a narrower claim than most tools in this category make.
Why review does not catch the expensive mistakes
Reading code tells you whether it looks right. The mistakes that cost money look right, which is exactly why they survive: an off-by-one in a fee calculation, a rate applied per day when it accrues per hour, a divisor from the wrong market. Every one of those reads perfectly. None of them survives contact with a real number, which is why a live source is a better reviewer than a careful person.
What to do with generated code you cannot check
Reduce it until you can. If a function's output cannot be compared against anything, either split it until part of it can, or accept that you are trusting it and mark that clearly. The failure mode worth avoiding is code that nobody can verify sitting quietly in a path that matters, being trusted by default because it has not visibly broken yet.
Live, right now, on this page
| Market | Price | Funding | 24h volume |
|---|---|---|---|
| BTC | $79,657.50 | 0.0006% | $203,532,857 |
| ETH | $2,487.35 | 0.0013% | $138,334,875 |
| SOL | $105.81 | -0.0012% | $46,858,638 |
| HYPE | $87.60 | 0.0013% | $11,072,399 |
Read from a live market during render. If any figure here were wrong, it would be obvious rather than plausible. Read at 2026-09-06 17:30 UTC; accurate as of that time and not afterwards.
Describe something and watch it get built.
Open the builder, or start from a working app and change it.