Product Overview

The governance
layer for AI coding.

Straion is the AI coding governance platform that keeps AI coding agents aligned with your engineering standards, at every step from first prompt to merge.

Built for lead engineers, platform teams, engineering managers, and any team already using Claude Code, Cursor, or GitHub Copilot.

Get Started Free See how it works
Works with
CursorClaude CodeGitHub Copilot
straion governance check
  1. prompt: Add /api/users/export route
  2. 3 rules selected: auth, rate-limit, PII handling
  3. Plan rejected: missing auth.Require() on new route
  4. Fix applied, re-checked. 0 violations remaining

The problem

AI agents drift. Standards break.
Rework adds up.

AI coding tools generate code fast but they don't know your architecture decisions, security requirements, or compliance obligations. The result is inconsistent code, failed reviews, and avoidable production risk.

56%

of AI-generated code needs rework

Before it can be merged, because it doesn't match company standards

8hrs

weekly review time per senior engineer

Spent on manual checks that should be automated

45%

of compliance issues missed in manual review

Non-functional requirements are easy to overlook at scale

■ The Promise

What changes when you add Straion

AI tools that work the way your team intended.

  1. Fewer review hours

    Validation happens before the PR, not during it. Senior engineers review for intent, not compliance checklists.

  2. Fewer missed compliance issues

    Rules are checked automatically, not remembered manually. Nothing slips through because someone was in a hurry.

  3. Faster delivery

    Agents that code right the first time don't produce rework cycles. Less back-and-forth, less maintenance, more shipped work.

  4. Engineers build product, not guardrails

    Your automation and developer tooling teams stop spending cycles wrangling AI agent behavior. Governance is handled, your teams can focus on shipping core product instead.

Capabilities

Four capabilities.
One governance layer.

Rule Hub

One source of truth for your entire organization. Architecture patterns, security policies, compliance rules, and team-specific standards, stored once, applied everywhere.

Dynamic Rule Selection

Not all rules apply to every task. Straion reads the context: team, repository, tech stack, change type, and retrieves only the rules that matter. No noise, no gaps.

Plan Validation

Before the AI writes a single line of code, Straion validates its proposed approach against the matching rules. Wrong direction caught early, before it becomes rework.

Contextual Feedback

When something is wrong, engineers (and agents) get specific guidance: which rule was violated, where the issue is, and exactly how to fix it. Not a warning. A fix.

See how it works
■ In practice

Where the governance layer earns its place

Standards slip. Here is where Straion catches them.

Catch the missing auth check before it's written

When an agent proposes a new route, Straion pulls the auth, rate-limiting, and validation rules that apply and rejects the plan if one is missing. Not "this may have a security issue." "Route /api/users/export is missing auth.Require()."

Dynamic Rule Selection + Plan Validation · ↓ Production Risk

The checks no one remembers under deadline

PII handling, audit logging, retention rules: the non-functional requirements that slip when someone is in a hurry. Straion checks them on every task, not when someone remembers to.

Contextual Feedback · 45% of Compliance misses, closed

A second look once the code exists

Some issues only show up in the diff: a missing pagination boundary, a response that leaks PII, a query that won't scale. Straion re-checks the changes after they're written, not just the plan before.

Contextual Feedback (post-generation)

Audit what you already shipped

Your standards are new. Your codebase isn't. Point Straion at an existing repo and check it against your rules to backfill the gaps, instead of only enforcing from here forward.

Rule Hub + post-code analysis

■ Who it's for

Built for teams already using AI coding tools

Straion is most useful once your team has adopted an AI coding agent and discovered the output needs consistent guardrails.
Lead engineers

Stop repeating yourself in review

Your architecture decisions (repository patterns, required abstractions, service boundaries) are invisible to agents by default. Straion encodes them once and validates every plan against them, so you're not typing the same correction into the twentieth PR this week.

Plan Validation · ↓ Rework

Platform teams

Publish once. Enforced everywhere.

Define a standard a single time and Straion scopes it to the right team, repo, and stack automatically. A frontend engineer gets accessibility rules, a backend engineer gets auth and rate limiting. One source of truth, no noise.

Rule Hub + Dynamic Rule Selection

Engineering managers

Review for judgment. See where it slips.

Validation happens before the PR, so senior engineers review for intent instead of running compliance checklists. And you get team-level visibility into which rules get violated most, not per-developer guesswork.

Plan Validation + Reporting · 8 hrs/week back per senior engineer

Teams using AI tools

Output that matches your standards, the first time

Claude Code, Cursor, and Copilot users get code that follows company standards from the first prompt, without the manual correction cycle after every task.

Dynamic Rule Selection · ↓ Rework

Boundaries

What Straion is not

  • Not just a CLAUDE.md or a generic best-practices skill.
    A shared prompt file or an engineering checklist has no memory of your decisions, no team-level scoping, and no enforcement. Straion turns your actual standards into structured, queryable rules that agents check at every step, not a one-time hint that gets ignored or overwritten.

  • Not a Copilot replacement.
    Straion works alongside Claude Code, Cursor, and GitHub Copilot. It doesn't generate code, it governs how your AI tools use your standards.

  • Not a generic document store.
    Straion doesn't replace your wiki or your ADRs. It turns selected standards into machine-readable rules that AI agents can act on.

  • Not a static linter.
    Linters check syntax and patterns after the fact. Straion validates intent and approach before code is written.

  • Not a one-size-fits-all ruleset.
    Rules are scoped to teams, repositories, stacks, and task types. A frontend team and a backend team get different rules for the same codebase.

Get started in under 5 minutes,
stay on track as you scale

Your architecture rules, security policies, and coding standards, automatically in every developer's AI agent from day one.

Works with Claude Code, GitHub Copilot & Cursor. No credit card required.

Get Started Free →

Book a demo

We'll show you how Straion works with your AI coding setup and try it with your team.

FAQ

AI coding governance, answered

What is Straion?
Straion is a governance layer for AI coding. It keeps AI coding agents like Claude Code, Cursor, and GitHub Copilot aligned with your engineering rules, architecture standards, security policies, and compliance requirements, automatically, from the first prompt to merge.
What is AI coding governance?
AI coding governance is the practice of making sure code written by AI coding agents follows an organization’s architecture, security, and compliance standards. Straion does this by storing standards as structured rules, selecting the rules relevant to each task, and validating the agent’s plan before any code is written.
How does Straion keep AI coding agents aligned with our standards?
Straion selects only the rules relevant to each task based on team, repository, tech stack, and change type, then validates the AI agent’s implementation plan against those rules before code is generated and re-checks the resulting code changes. Violations come back with the exact rule, location, and fix.
Which AI coding tools does Straion work with?
Straion works alongside Claude Code, Cursor, and GitHub Copilot through a CLI and skill integration. It governs how those tools apply your standards; it does not replace them.
How is Straion different from a CLAUDE.md or .cursorrules file?
A CLAUDE.md, AGENTS.md, or .cursorrules file is static, scattered across repos, and often ignored by the agent. Straion turns your standards into structured, version-controlled rules that are scoped per team and repository and enforced at every step. You can import your existing rule files instead of rewriting them.
Does Straion replace Cursor, Claude Code, or GitHub Copilot?
No. Straion is not a code generator and does not replace your AI coding tools. It is a governance layer that works alongside them to make their output match your company standards without manual correction after every task.
How long does Straion take to set up?
Most teams set up Straion in under five minutes: install the CLI, connect your Straion workspace, and your AI agent fetches the right rules from that point on.