Straion

Gianmarco Carrieri, Lukas Holzer, Fabian Friedl, and a team of eight built Straion to solve a problem every engineering team using AI coding agents has felt but can't quite articulate: your AI is fast, but it's fast in the wrong direction. You adopted Claude Code or Cursor to move faster, and now you're spending half your time manually course-correcting, copy-pasting rules into prompts, and praying the AI actually reads your coding standards. Those .md files buried in nested folders? The AI ignores them. Your security rules? They'll show up in code review, not before. Straion fixes this with one central hub where you define your architecture rules, security policies, and coding standards—and your AI automatically fetches the right context for every single task. No manual prompting. No more wasted tokens going in the wrong direction.

They just raised €1.1 million to build this, and honestly, it's the most practical solution to AI coding chaos I've seen. Define once, auto-inject everywhere. The CLI dynamically fetches relevant rules based on what the AI is working on, and here's the kicker—it validates every AI-generated plan against your rules BEFORE code gets written. That's not just helpful, that's catching expensive mistakes at the planning stage instead of in review. The days of scattered CLAUDE.md files and outdated copy-pasted standards are over.

This is a five-minute setup that solves a $0 problem in a $0 market. AI coding agents are exploding—Cursor, Claude Code, Windsurf—but nobody's building the infrastructure layer that makes them actually follow your org's rules. Straion just did. Watch them become the mandatory infrastructure for any company that actually cares about code quality.