Docery reads the code behind your product: backend, services, frontends. Then it writes clear, readable docs of how everything actually works. Always current with the code. Nothing invented.
So every day, Support asks engineers “how is this supposed to work?”, engineers stop building to answer, and half the answers are guesses from memory.
Docs usually describe what everyone believes the product does. Docery documents what the code actually does. Those are not always the same thing.
Real example from our pilot: a checkout flow where the “only place the order if payment succeeded” check was commented out in the code. Every human doc would say “orders require payment.” The code said otherwise: orders were being saved even when payment failed.
Docs that describe what the code does,
not what it was meant to do.
Most “AI docs” tools paste your code into a language model and hope. Docery doesn’t work that way. A deterministic engine, not AI, reads the code, maps the services, traces the journeys, and verifies every step. AI enters only at the last mile, to turn verified facts into readable sentences.
Docery is generating docs from real production codebases with 2 pilot teams. We onboard a few products at a time so every pilot gets direct attention from the founding team.