# Straion

> Straion is the governance layer for AI coding agents (Claude Code, Cursor, GitHub Copilot). It stores a team's engineering standards as structured, version-controlled rules, selects only the rules relevant to each task, validates the agent's plan before any code is written, and re-checks the resulting changes.

Straion keeps AI-generated code aligned with your architecture, security, and compliance standards, from the first prompt to merge. Import your existing AGENTS.md, CLAUDE.md, and .cursorrules files once, then manage everything from one central hub instead of scattered files that drift across repos. Rules are scoped by team, repository, language, and framework, so each task gets only the guidance that applies. It works alongside your AI coding tools; it governs, it does not generate.

## Product
- [Product overview](https://straion.com/product): What Straion does and how it governs AI coding agents.
- [How it works](https://straion.com/how-it-works): Rule selection by context, plan validation before code, and pull request enforcement.
- [AI coding guidance](https://straion.com/product/ai-coding-guidance): Guide Claude Code, Cursor, and Copilot with company-specific rules so AI-generated code follows your architecture, security, and quality standards.
- [Code review](https://straion.com/product/code-review): Automated pull request validation against non-functional requirements, so code stays aligned with company standards without manual review.
- [Requirements management](https://straion.com/product/feedback-on-requirements): Capture and manage your organization's requirements and keep specifications and code aligned at every step.
- [Pricing](https://straion.com/pricing): Plans and tiers (free tier to start, paid and enterprise tiers for teams).

## Comparisons
- [AGENTS.md vs Straion](https://straion.com/product/straion-vs-agents-md): Why a static markdown file breaks down at team scale, with a before and after import example, and what Straion adds on top.
- [Straion vs custom skills](https://straion.com/product/straion-vs-skills): How Straion compares to custom skills in Claude Code and Cursor.

## Blog
- [Developers Asked Anthropic to Build This. We Did.](https://straion.com/blog/developers-asked-anthropic-to-build-this): In December 2025, a developer filed GitHub issue #14467 on the anthropics/claude-code repo describing exactly the problem Straion solves.
- [Build vs. Buy: The Real Cost of AI Coding Governance](https://straion.com/blog/build-vs-buy-ai-coding-governance): Building your own AI coding governance layer sounds like a simple config project.
- [90% Rule Adherence](https://straion.com/blog/90-percent-rule-adherence-straion-coding-agents): When Claude Code runs with Straion, it stops guessing and starts coding like your best engineer.
- [One million tokens won't save your engineering standards](https://straion.com/blog/1m-tokens-wont-save-your-engineering-standards): The industry is celebrating one million token context windows as the solution to AI coding problems.
- [Your AGENTS.md is costing more than you think](https://straion.com/blog/delete-your-claude-md-science-says-so): ETH Zurich researchers tested whether AGENTS.md and CLAUDE.md files actually increase the success rate of coding agents.
- [We raised €1.1M to fix AI coding drift](https://straion.com/blog/we-raised-1-1m-to-fix-ai-coding-drift): Straion announces its €1.1M seed round led by Marathon VC and outlines why autonomous engineering needs a rules layer to prevent AI coding drift.

## Company
- [About Straion](https://straion.com/about-us): The team and why Straion exists.
- [Blog](https://straion.com/blog): Research and writing on AI coding governance.