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Straion

Straion puts your architecture rules, security policies, and coding standards in every developer's AI agent. Works with Claude Code, Cursor, and Copilot.

Monthly visits
161
Pricing
Paid
Team, Enterprise, AI Expertise & Advisory, AI Efficiency Tune-Up
Added
Feb 25 2026

About Straion

Straion governs AI coding agents by applying engineering standards to the development process. It stores architecture rules, security policies, and coding standards as structured rules that travel with the agent. The system is designed for teams using Claude Code, Cursor, and GitHub Copilot to ensure consistency across code produced by AI assistants. It emphasizes governance and traceability from planning to deployment, with a focus on eliminating drift in standards across repos.

Straion integrates rules and context to guide AI behavior before any code is written. Rules are imported from a team's existing standards, stored in a central hub, and accessed by the agent according to the task context. The tool keeps standards live and versioned in the team's own Git infrastructure, ensuring rules evolve with the organization and are applied to all relevant work items.

The main capabilities include centralized rule management, dynamic context-driven rule selection, plan validation before coding, integration with major AI coding tools, and a rule-backed gate that precedes code generation. Changes to rules flow through version control as commits and pull requests, providing auditability and control over how standards are enforced.

Straion outlines plans, platforms, and integrations available: self-hosted rule storage on your own Git, and compatibility with Claude Code, Cursor, and GitHub Copilot. It describes an onboarding path, CLI installation, and an enterprise option with centralized governance and security features.

Use cases

  • Govern AI coding agents to follow organizational standards in MISRA, security, and architecture.

Key features

  • Centralized Rule Hub
  • Dynamic Context Selection
  • Task Plan Validation
  • Integrates with Your Tools
  • Rules Live in Your Git

Pros and cons

Pros

Keeps a single source of truth for rules in your own Git
Applies only the relevant rules for a task, reducing token cost

Pricing

Team
€18 / user / mo
  • Unlimited rules
  • AI Agent integrations (Claude Code, Cursor, GitHub Copilot)
  • Task plan & code generation and validation
  • Community support
Enterprise
Contact us
  • SSO / SAML authentication
  • Dedicated customer success
  • Manage rules in your own Git (GitHub, GitLab, Bitbucket, or self-hosted), versioned, reviewed, and permissioned like code
  • Priority ticket-based support during business hours via Slack and Google Meet
  • Architecture and onboarding guidance for building enterprise context
AI Expertise & Advisory
from €1,900
  • Full rewrite of your existing standards
  • Tech recommendation aligned to your goals
  • Delivered in 5 business days
  • 3-month extended free trial for Straion
AI Efficiency Tune-Up
from €900
  • Full setup review
  • Specific AI efficiency tune-up recommendations aligned to your goals
  • Delivered in 5 business days
  • Optional benchmark (+€900)
  • 3-month extended free trial for Straion

Reviews

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Frequently asked questions

What is Straion?
Straion is the governance layer for AI coding agents like Claude Code, Cursor, and GitHub Copilot. It stores your engineering standards as structured, version-controlled rules, selects the rules relevant to each task, validates the agent's plan before code is written, and re-checks the resulting changes.
What AI coding tools does Straion work with?
Straion works with Claude Code, Cursor, and GitHub Copilot, including Copilot in VS Code and the GitHub Copilot CLI.
How long does setup take?
About five minutes. Install the Straion CLI, connect your repository as a rule source with straion source repo connect, and Straion creates the rules branch and the auto-sync pipeline.
Can I switch plans anytime?
Yes. We can move you between plans as your team scales.
Do you offer discounts for startups?
Yes, reach out and we can discuss startup-friendly options.

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