Proof, not promises.
Models write code fast and lie convincingly. We test every change against the running product, and hand back proof it works.
01Bugs that reading the change cannot catch
Every other reviewer reads the diff and hypothesises. It cannot run your code, validate a finding, or reach the parts of your system the change never touched.
Zeus runs inside an environment built to match your production setup, so it catches errors that are invisible from inspection.
Four we caught by running the code
- Order without a payment record
- A scheduled job billed a customer for a delivery they had already paid for, and the code that failed sat in a file the change never touched.
- Retry rejected instead of replayed
- A payment retry was rejected rather than replayed, because the idempotency key left out a field the request set.
- Slot refused after it was offered
- The booking form offered a customer a time slot that the save path refused a few minutes later.
- Check that no caller uses
- A new consent check suppressed every analytics event, because no code supplied the value it needed.
02The reviewer and the QA tester
Works inside a running copy of your stack. It traces the change across files and services, proves a suspected bug by writing and running a test, and abstains when it cannot verify rather than guessing a score.
@tryarcanist /reviewProves behaviour in a running copy of your app, against a real backend, database and auth. It returns evidence rather than opinion, including the requests it sent, the rows it read, and screenshots of what it saw.
@tryarcanist /qa03The team
Built by a small, exceptional engineering team.
OpenAI accelerator alumni with staff, founding, and senior engineering experience at Ramp, Raylu, and Gumloop.
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