NO CONTEXT
Agents start from scratch every time.
No codebase knowledge, no architecture context. They invent function names, duplicate patterns, and guess your conventions.
Set the rules. Make agents follow them.
One governance layer across Claude Code, Cursor, Copilot, and every MCP compatible agent.
WORKS WITH THE AGENTS YOUR TEAM ALREADY USES
YOUR TEAM
THE AI AGENT CONTROL PLANE
What Breaks Without Governance
Most teams find out through a production incident or a failed audit.
No codebase knowledge, no architecture context. They invent function names, duplicate patterns, and guess your conventions.
The files and patterns the agent actually needs. No guessing, no wasted tokens on orientation.
Which agents, repos, or tasks are driving cost? Nobody knows. The CTO asks. You're guessing.
One dashboard. Every agent, every developer. Cost, activity, and compliance, no digging through invoices.
Agents ship code that passes syntax and fails standards. You find out in review, in production, or in an audit.
Violations blocked, logged, and visible. No post-merge surprises.
The Uzera Promise
Agents stop sending the whole repo.
Indexed codebase context replaces raw file dumps. Agents get the right files per task. Fewer tokens, lower bill.
Violations blocked before they ship.
Rules & hooks check every agent action before it commits. Security issues, anti-patterns, standard drift, caught at write time.
Your rules stay with you.
Standards and codebase knowledge live in Uzera, not inside one agent's memory. Switch vendors next quarter.
One Control Plane, Six Product Lines
Reusable codebase knowledge for every agent. Agents stop rediscovering the repo and read less to do more.
Your engineering and security standards enforced as the agent writes. Rules injected, violations blocked before review.
What AI-assisted development is doing to the codebase. Findings, quality trends, fix speed, without reading every diff.
One place to see and control every coding agent across tools. Which agents are active, what they touched, where they were blocked.
Cost, adoption, and ROI evidence. Connects token spend to value so leaders can scale AI coding with proof.
Governance, audit, and compliance. Every agent action accountable, mapped to controls, with exportable evidence.
How Teams Get Set Up
Uzera scans your repositories and builds a structured map of your codebase. Source code never leaves your machine.
Every agent request pulls exactly the context it needs, not the whole repo. Right answer, fewer tokens.
Your rules run at the agent level, before anything commits. No exceptions. No workarounds.
Compliant, context-aware code ships. Everything else is blocked. Your team builds instead of debugging agent mistakes.
Who Uzera Is For
What is our AI investment actually delivering?
Measurable output across every agent and developer. One dashboard that answers the board's questions.
Are agents following our standards or inventing their own?
Rules enforced at the agent level. Compliance is automatic, not dependent on review bandwidth.
I'm spending half my time reviewing AI-generated code.
Agents that know your codebase and follow your patterns. Less rework, more building.
Every team runs a different agent with different settings.
One set of rules, one source of context, one dashboard, regardless of which tool each team picked.
AI-generated code is a blind spot in our security posture.
Security rules run before the commit. Violations blocked and logged.
Token costs are a line item no one can explain.
Usage tracked by agent, repo, and workflow. Cost attribution that maps to teams, not just API keys.
Before the Budget Conversation
We already pay for Copilot and Cursor. Why add another tool?
Uzera makes the agents you already pay for consistent and measurable. Not a new line item, a way to justify the ones you have.
How do we know AI-generated code is meeting our standards?
Rules and hooks check every agent action before it commits. Standards are enforced automatically, not dependent on a developer remembering to review.
What's the risk if an agent ships something it shouldn't?
Governance hooks run before the commit. Violations are blocked and logged. You find out in the dashboard, not in an incident review.
Our last dev tooling rollout took four months.
This takes five minutes. One MCP integration. No procurement, no infrastructure. Teams govern from the same day they connect.
Token costs keep going up. Velocity isn't.
Agents without context send the whole repo to the LLM on every request. Uzera gives them indexed context. Costs come down. Output goes up.
What if we switch AI vendors next year?
Your rules and codebase knowledge live in Uzera, not inside one vendor's memory. Switch agents anytime. Nothing resets.
Prove on One Real Repo
And the agents your team already uses.
Security, coding conventions, architecture rules.
Claude Code, Cursor, Copilot, whatever your team uses.
Token usage, blocked violations, quality findings, cost attribution.
Claude Code, Cursor, Copilot, Windsurf any MCP-compatible agent.
Indexed context in. Rules and policies applied.
Compliant, context-aware, measurable. Violations blocked.
The Control Plane for the AI Software Factory
Ship cleaner code. Control AI spend. Stay agent independent.