Arclask — governance for AI coding at team scale

Every engineer on a team is probably already using some AI coding assistant, Claude Code, Cursor, Codex, whatever. Individually they're all fine.

But once you've got 50+ engineers all pointed at the same codebase, I don't see how anyone actually knows if the architecture is holding together. The "rules" living in a CLAUDE.md or AGENTS.md file are just instructions the model can ignore under a long session or a rushed prompt. Nobody's actually checking the output against real constraints before it merges.

Same thing on cost. A hundred engineers sending overlapping context to the same model over and over, and most teams have no idea how much of that spend is redundant.

I'm building Arclask around this, a layer that checks AI-generated changes against your actual architecture rules before they land, gives leads real visibility into what's being overridden and why, and lets a team share context instead of everyone re-sending the same repo info to the model.

No polished product yet, this is still an early landing page while I validate whether this is a real pain point. If you run or work on an eng team past the point where one senior person can review everything by hand, I'd genuinely value knowing if this matches what you're seeing, or if I'm solving a problem that doesn't exist at your team's size.

Landing page here if you want to look or sign up: arclask-landing-page