Agent Enablement

Your standards, inside the agent's context, before it writes a line.

An agent that cannot read your standards will not follow them. Qualimetry delivers your policies, principles and language standards into the agent's working context, so the code comes back compliant the first time instead of coming back for another review round.

Correction is the expensive way to get compliant code

When the standard only appears at review time, every non-compliant change costs twice: a reviewer's attention on a rule that was written down years ago, and another agent cycle rewriting work that should never have been produced. Moving the standard upstream of the keystroke removes both costs.

Standards reach the agent while it writes, not after it has finished. Compliant by construction, not by correction.

  • The agent asks the MCP server what the standard is, as it writes.
  • The coding-standards skill loads the standards for the language in hand whenever source code is being created or modified.
  • Nobody has to paste a standards document into a prompt, or remember which document was current.
  • The pull request is reviewed against the same standards, so review confirms rather than discovers.

How your standards get there

Three pieces, installed once. After that the standards travel on their own.

The MCP server

A read-only server that answers the agent's questions about your policies, principles and language standards, live, in the language being written.

The agent app

One install per agent. It wires up the MCP connection and puts the skills where the agent will find them.

The skills

Packaged workflows that turn applying your standards, or clearing your review findings, into a single step.

Read-only by design

Every tool the MCP server exposes is read-only. Connecting an agent to Qualimetry lets it read your standards and your review findings. It can never change your standards, your findings or your configuration.

Serving standards to your agents is free and unlimited. Analysis Credits are consumed only when code is reviewed, so every issue an agent avoids up front is one you never pay to find.

Skills, so nobody has to remember

Skills package the workflows, so applying your standards is one step rather than a prompt somebody has to remember correctly.

coding-standards

Loads and applies your coding standards, general and secure coding principles, and policies for the language of the file being written. Activates whenever source code is being created or modified.

review-check

Retrieves the review findings on a source file across all five perspectives, together with a compliant code example showing how to resolve them.

blitzy-rules

Generates a Blitzy rules pack from your standards, so an autonomous build has your rules in machine-readable form.

Where they run

Install the Qualimetry app for the agent your team already codes with.

Claude Code

OpenAI Codex

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VS Code and GitHub Copilot

What review is left to do

The best review is the one that had nothing to find. Review is the safety net, not the mechanism: the same standards the reviewer checks were delivered into the agent's context before it wrote, so most of what review would have caught never gets written.

Diagram: how a standard travels from the Standards Center to the merge

A six stage flow in two halves, joined by the pull request. Before the code exists: you author the standard in the Standards Center, it is delivered into the agent's context through the MCP server, and the agent writes to it. After the pull request opens: the AI Code Reviewer checks the same standards, an optional human review can be switched on to block the merge until a person has resolved every open finding, and the merge gate decides on the compliance score. Review findings feed back into the standards.

Before the code exists
  1. Author the standard Policies, principles and language standards, in one place
  2. Into the agent's context Read-only MCP server, agent app and skills
  3. The agent writes Compliant by construction, not by correction
After the pull request opens
  1. AI Code Reviewer Five perspectives, checked against the same standards
  2. Human review Block the merge until a person has resolved every open findingOptional, enable when required
  3. Merge gate The compliance score decides
Human review is a gate you switch on when you want it. With it off, the merge gates on the compliance score instead.

Put your standards in front of every agent

Start a trial and connect your first agent, or book a demo and watch one pick up your standards and produce a pull request that already complies.