AI writes your code.You stay in charge.
Claude.Codex.Cursor.Grok
Go as fast as the agent can. Uzera runs beneath it with your codebase knowledge and your rules, and denies a bad edit before it's written.
Predefined rule templates for PCI DSS v4.0, SOC 2, HIPAA, FedRAMP® and seven more.
Works with the coding agents your team already uses
YOUR TEAM
THE AI AGENT CONTROL PLANE
How it works
Four steps. Live before lunch.
One connection to the agents your team already uses. No new editor, no new workflow, no infrastructure.
Index
Uzera maps your repositories. The code itself stays on the machine.
Retrieve
Each request gets only the context it needs, instead of the whole repo.
Govern
Your rules run while the AI writes, before anything is saved.
Ship
Good code ships. Anything that breaks a rule is stopped and recorded.
The platform
One platform. Two jobs.
Seven things it does, each a page in the product. They split into two jobs.
Ship Cleaner Code.
- Knowledge Base: your codebase, indexed and explained, reused by every agent. 93 languages.
- Guardrails: rule packs from OWASP to GDPR, plus your own in plain English. Enforced as the agent writes.
- Code Review: every push to a PR re-checked in your CI: GitHub Actions, Azure Pipelines, Bitbucket, Azure DevOps Server. Findings close themselves when the code changes.
- Context: what your agents learned, kept by you across every session.
Prove it to whoever asks
- Code Health: deterministic scores per scan: density, trend, per repo. Whether AI is helping or hurting.
- Trust: every allow and deny on a hash-chained ledger. Governance for your coding agents.
- Agents: every install and session, and what it cost, by developer, model and agent.
Who it's for
One platform. A different first question for everyone.
Pick the person closest to your job.
Why am I still cleaning up after my own agent?
Because it has never read your codebase. Uzera gives it the map, so it stops inventing helpers that already exist and stops picking patterns your team abandoned. Same editor, same agent, nothing new to learn.
Opens Knowledge Base Guardrails
Is quality getting better or worse since we adopted AI?
Right now that is a matter of opinion. Uzera tracks quality across every repository as AI use grows, and enforces your standards as the agent writes instead of leaving it to whoever picks up the review.
Opens Code Health Code Review
What did the AI budget actually buy?
One view of what AI coding cost, by developer, repository and model, next to what happened to code quality. The answer to the board question, without a data project.
Opens Agents Code Health Trust
What is agent-written code doing in our repositories?
Your security rules run while the AI writes, so violations are denied before anything is saved rather than found in review. Every allow and deny is written to a hash-chained ledger.
Opens Guardrails Trust
Why does this line grow every month with no owner?
Because spend arrives as one number with nothing behind it. Uzera attributes usage to developers, repositories and models, so the cost has an owner and a trend you can question.
Opens Agents
Security
Your code stays where it is.
Uzera indexes your repositories where they already live, and the index never leaves the developer's machine. What we receive is the change under review: the diff, the symbol facts that document it, and the agent's conversation. Never a clone of your codebase.
- The index stays local. Indexing runs where your code already is.
- We see the change, not the codebase. Diffs, symbol facts and agent conversation. Never a clone of your repository.
- Single sign-on and roles. Entra ID, Google, GitHub or any OIDC provider. Owner, Admin, Member and Viewer, plus custom roles.
- A database per customer. Isolation is physical, not a filter.
- A hash-chained ledger. Every allow and deny, in order, on a chain that shows any edit.
Before the budget conversation
Questions people ask before the budget conversation.
01We already pay for an AI coding agent. Why add another tool?
Uzera doesn't replace it. It makes the agent you already pay for follow your rules, and shows you what it cost, which is how you justify the spend you have rather than adding to it.
02Does our source code leave the machine?
Your repository never leaves your machine. We receive the diff under review, the symbol facts that document it, and the agent's conversation. Never a clone of your codebase.
03Our last tooling rollout took four months.
This is one install and takes minutes. No new editor, no new workflow, no infrastructure. Your rules are on the same day you connect.
04Will engineers resist it?
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.
05What if we switch AI vendors next year?
Your rules and your codebase knowledge live in Uzera, not inside one agent's memory. Change agents and nothing resets.
06How do we know it is working?
Two numbers move first, and you can check both yourself: how many rule violations are denied before they're written, and how many findings close themselves after the fix.
Governance for your coding agents
Every team adopted AI agents.
Few governed them well.
AI writes your code. You stay in charge.