Use cases / Developer Onboarding
Use case
Uzera indexes the codebase where it lives and explains it: an architecture map, a generated wiki, and plain-language answers about how it works. Every agent gets the same knowledge, and Memory keeps what the team decided across sessions.
Day one, with the map already drawn
Knowledge Base
The same codebase knowledge, given to every agent on every session. Nothing to re-explain.
Plain-language answers, from the code
What the team decided, kept
What Uzera gives a new engineer
A new engineer and a new agent get the same four things.
Knowledge Base
An architecture map and a generated wiki, built from the code and refreshed by every scan. Across 93 languages, on the machine where the code already lives.
Knowledge Base
What does this do, how is authentication handled, how do the modules connect. Answers come from the code itself, for people and for agents.
Context
Decisions the team made and patterns the agents learned are kept by you and given back to every agent, so nobody re-explains the same things.
Agents
Same editor, same agent. One install, minutes. The new engineer notices fewer review comments about conventions they had no way to know about.
How day one works
Three steps, and the first pull request is held to the same rules as everyone else's. Nobody has to explain the conventions, and nothing slips through because they were new.
Uzera indexes the repository where it already lives and builds the architecture map and the wiki. The code itself stays on the machine.
The new engineer, and their agent, ask the codebase how it works in plain language and get answers from the code itself, before changing anything.
What the team decided and what the agents learned is kept in Memory and given back on every session, so the second week is faster than the first.
Where it fits
Before the budget conversation
This is one install and takes minutes. No new editor, no new infrastructure. One install. One step in the CI you already run. Your rules are on the same day you connect.
An architecture map of the codebase, a generated wiki, and the ability to ask in plain language how something works. Their agent starts with the same rules everyone else's has.
They keep their editor and their agent, and nothing changes in how they work. What they notice is fewer review comments about conventions they had no way to know about.
Governance for your coding agents
AI writes your code. You stay in charge.