How It Works
Your architecture decisions are invisible to AI agents by default. Straion makes them enforceable at the plan stage, before a single line is written, and beyond.
Every task an AI coding agent touches follows the same path: plans are created, the applicable rules are selected, validated against, and enforced. Built for scale, teams can customize this workflow or plug it into their existing process.
Lead engineers, architects, and compliance teams use Straion's import mechanisms to add their engineering standards into one central rule hub. Rules are stored as structured policies built to be evaluated by agents: version controlled, permission controlled, and ranging from security guidelines to coding best practices. This replaces scattered CLAUDE.md files, repo-level prompts, and wiki pages that agents never reliably read.
Context signals like team, repository, tech stack, and change type determine which rules are active for this task. A backend engineer adding a new API route gets authentication and rate limiting rules. A frontend engineer updating a component gets accessibility and design-library rules. Neither gets the other's noise.
Context signals used for rule selection
Team
backend, frontend, platform, mobile
Repository
api-service, web-app, shared-lib
Stack
Go, Node, Python, React
Task type
new feature, refactor, bugfix
Before any code is written, the agent proposes a plan. Straion checks it against the retrieved rules. If the plan violates a rule (missing an auth check, skipping the repository pattern, bypassing a required abstraction) it's rejected and adjusted before a single line is written. Correcting intent costs one prompt; correcting code costs a review cycle. Every flag includes the rule that triggered it, where the problem is, and what to do: not "this may have a security issue" but "Route /api/users/export is missing auth.Require(), add it before handler registration."
After code is written, Straion analyzes the changes again. This catches issues that are hard to spot at the plan stage: a missing pagination boundary, a response that leaks PII, a query pattern that won't scale.
A rule carries the metadata Straion matches on. find-rules takes a proposed change and returns the rules that apply to it.
Watch how to set up Straion and start enforcing your coding standards in minutes.
Getting started with Straion takes less than 5 minutes. Here's the race plan.
Import or create your engineering standards, security rules, and coding guidelines in Straion.
Install the CLI and add Straion to your Coding agent. It connects to your org's rules.
Straion's CLI dynamically fetches the relevant rules. Your AI knows your standards before writing code.
Straion validates the AI's task plan against your rules. Catch violations before tokens are wasted.
Rule retrieval, plan validation, structured policies, PR enforcement: the pieces look manageable until you're six weeks deep and maintaining infrastructure instead of shipping product.
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 FreeWe'll show you how Straion works with your AI coding setup and try it with your team.