■ 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. Implementation 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 their central rule hub. This replaces scattered CLAUDE.md files, repo-level prompts, and wiki pages that agents never reliably read. One hub governs all agents across the organization.
Rules are structured policies targeted to be evaluated by agents. They can range from security guidelines to coding best practices. Rules are managed like code, version controlled and permission controlled.
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 the agent writes any code, it proposes a plan. Straion checks that plan 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. This is the most valuable intervention point: correcting intent costs one prompt; correcting code costs a review cycle.
Every violation includes the rule that was triggered, where the problem is, and exactly what to do to fix it. Engineers and agents won't act on "this may have a security issue." They will act on "Route /api/users/export is missing auth.Require(), add it before handler registration."
After code is written, Straion analyzes the code 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 is a structured policy. A validation report is a specific, actionable output. Neither is prose.
■ Before you decide
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.
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