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Invariel

IN / 01 The invariant layer for software engineering

One source of truth for how humans and AI build software at your company.

One source of truth for how humans and AI build software at your company.

Invariel gives engineering organizations an authoritative standards layer: define how software should be built, distribute those principles to people and AI coding agents then verify every change against the same source of truth.

See how it works

Designed to work with repository-native instructions
and your existing pull-request workflow.

02 The problem

AI can generate code faster than organizations can govern it.

Your engineering standards already exist in documentation, repository files, architecture decisions, pull-request feedback, conversations and the knowledge of senior developers. Their authority is scattered.

Coding agents add more instruction files and formats to maintain. When those copies drift, people and agents can build against different rules without knowing it.

  • README files
  • Documentation
  • Architecture decisions
  • PR feedback
  • Agent instructions
  • Team conversations
  • Repository rules
  • Team knowledge

One governed placeClear ownership · clear applicability · shared standards

03How it works

One standard. Every participant. An independent check.

Invariel is the system of record for engineering standards. It is not another coding agent or generic code reviewer. It keeps the company’s principles authoritative across teams, repositories and AI tools.
  1. 01

    Define

    Set the standards your teams should follow.

    Record who owns each standard, where it applies and how it changes over time.

    Architecture · Frontend · Backend · Testing · Security · Accessibility

  2. 02

    Apply

    Share the applicable guidance where work happens.

    Developers and coding agents can use human-readable guidance and repository-native instructions while keeping their existing tools and workflow.

    • Developers
    • Coding agents
    • Documentation
    • Repositories
  3. 03

    Verify

    Check the pull request against the same standards.

    A separate check can report the relevant standard, location and evidence in the change. It does not matter who or what authored it.

    Standard · location · evidence

04 Fits your existing workflow

Guidance before the pull request. A separate check at the pull request.

Developers and coding agents keep working in their usual repositories and tools. The instructions help guide the work; Invariel can then check the resulting change against the same applicable company standards.

The check is based on the standards that apply to the change. It does not matter whether a person or a coding agent wrote it.

Before the pull request

Guide the work

Applicable standards reach developers and coding agents through guidance in the repository.

Same standards

At the pull request

Check the result

A separate check evaluates the change and points to the relevant standard and evidence.

05The difference

More than a generic AI code review.

Generic review asks, “Is this good code?” Invariel asks, “Does this match how our organization has agreed to build software?”
Comparison of generic AI code review and Invariel.
Generic AI code reviewer Invariel

Checks a change against broad coding practices.

Checks a change against your organization’s applicable standards.

Primarily starts after code is written.

Guides work before review and checks the result at the pull request.

Review is the main job.

Pull-request checking is one part of defining, distributing and governing standards.

Pull-request checking is one part of Invariel. It is not the whole standards platform.

06 Invariel

Keep engineering principles consistent as everything else changes.

Developers change. Teams change. Technologies change. AI agents change. Invariel keeps the way your organization builds software anchored to one governed standard.