kxbnb
Joined 10 months ago
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Comment · 8 months ago
Comment · 8 months ago
I built Axiomo because every AI code review tool I tried kept solving the wrong problem. They all want to be a second developer on your PR, catching lint issues and suggesting refactors. That's not what makes review hard.
What makes it hard is context. Who wrote this, have they worked in this area before, what are they actually trying to do, and where should I focus?
Axiomo generates a structured Signal for every PR that answers those questions. Contributor context, intent, risk drivers, CI evidence, focus files. No auto-generated code suggestions. No comment spam. Just the stuff that helps you actually review instead of skim and approve.
Stack is Next.js on Vercel, Neon for Postgres, Resend for email. GitHub integration. Would love feedback on the approach and what your review workflow looks like.
We built something different.
Every agent gets a real Chromium browser running on a virtual display. You can watch it work through a VNC viewer right in the dashboard. None of those services have this — they're text-in/text-out.
Each workspace runs up to 10 agents, each with its own browser and filesystem. Agents can spawn sub-agents to break up complex tasks. Every workspace is an isolated Docker container with dropped capabilities and security policies, not a shared Node process.
Those services give you a chatbot you talk to on Telegram. We give you an agent with a browser, a shell, a scheduler, and the ability to actually do things on the internet — and you can watch it do them.
More on what's under the hood: https://claw42.com/features
Docs if you want to dig in: https://claw42.com/docs