Straion

What is Straion?

Straion is a centralized rule engine designed for AI coding agents like Claude Code, GitHub Copilot, and Cursor. Instead of scattering your organization's coding standards across multiple .md files that agents often overlook, Straion provides a single hub where you define architecture rules, security policies, and coding guidelines once. Your AI coding agent then automatically fetches the right rules for each task, so every line of code aligns with your team's standards from the first prompt.

Who it's for

• Engineering leads who need to enforce consistent architecture and security rules across multiple teams without manual oversight.
• Developer teams using AI coding tools who are tired of babysitting agents and manually correcting every prompt to match company standards.
• Platform and DevOps engineers responsible for onboarding new developers and ensuring AI-generated code passes compliance checks before shipping.

Key features

Centralized Rule Hub

Define all your engineering standards, security policies, and coding guidelines in one place. No more hunting through wikis, scattered markdown files, or outdated CLAUDE.md documents. Every rule lives in Straion and stays current for the entire organization.

Dynamic Context Selection

Straion automatically determines which rules apply based on context—team, project, domain, or tech stack. Your AI agent receives only the relevant guidance for each task, eliminating noise and wasted tokens on irrelevant standards.

Task Plan Validation

Before your AI agent writes a single line of code, Straion validates its proposed approach against your rules. This catches violations at the plan stage, not during code review, saving hours of rework and token costs.

Integrates with Your Tools

Straion works out of the box with Claude Code, GitHub Copilot, and Cursor. Install the CLI globally, add the skill, and your existing AI coding workflow gets instant rule enforcement in under five minutes.

What stands out

"Your AI coding agent automatically picks the right rules per task."

This is the core differentiator. Other solutions require developers to manually reference or copy-paste rules into prompts. Straion eliminates that friction entirely. Your agent gets the correct context dynamically, so you stop babysitting prompts and start shipping enterprise-ready code at actual 10x speed. The task plan validation layer also catches mistakes before tokens are wasted, which is a game-changer for teams running AI coding at scale.