DocPro replaces the stateless assistant with a retained AI development team — four specialists who remember your architecture decisions, your corrections, and your review history across every session. Scoped to each engineer's account. Per developer, and it never resets.
A stateless assistant re-onboards at the start of every session — you re-paste the architecture, re-explain the conventions, re-litigate the decision you already made last week. That re-explanation is unpaid engineering time, spent per developer, every day they open the tool. A retained team loads that history before the first prompt, so the meter never starts.
The first time the team reviewed this codebase cold — no ledger, no history — it surfaced around 110 findings across roughly 150,000 lines and drove every one to a terminal state. From then on, each review reads that ledger first and only looks at what actually changed. The most recent pass: one finding, in the code that moved — real, and already fixed.
The team runs the same shape of work for everyone: the session opens with what's known, evidence gets gathered before theories, decisions get written down, and code gets reviewed before it ships. That process doesn't depend on which engineer opened the session, or how their week is going. The discipline is the product — applied per developer, every time.
Every claim on this site ships with its honest limit: what's stored, what's encrypted, what's isolated to each account, and what isn't built yet. Your security team approves faster when the vendor hands them the boundary instead of making them hunt for it. The straight version lives on the pages built for the people who sign off.
Today, DocPro's memory is per-account and isolated. Each engineer's team remembers that engineer's projects — architecture decisions, corrections, review history — and nothing crosses accounts. That isolation is a feature: your code never becomes another account's context.
On the roadmapA future version of DocPro will support organizational accounts, where memory is institutional and shared across your team. That model is in development and does not exist today — every memory is currently per-account. See exactly what's stored →
Start a pilot with one team. Watch the second session cost less than the first — and the tenth cost less than the second.