Launched this week
Aruvi
The workspace where humans and AI agents ship together.
27 followers
The workspace where humans and AI agents ship together.
27 followers
Aruvi combines issue tracking, lightweight docs, structured knowledge, and MCP-powered agent workflows in one workspace. Assign work to humans or AI agents, give agents scoped API keys, keep every comment and status change attributed, and preserve reusable context for future work. There is also optional automatic code review on PRs with BYOK. Aruvi could be the perfect tool for you to assist in your loop engineering journey.
Hey Product Hunt,
I’m launching Aruvi today because the way software teams work is changing fast. We now have AI agents that can write code, triage bugs, review diffs, and document decisions, but most teams still manage that work through side chats, copied prompts, and scattered context.
Aruvi is a project-management and docs workspace built around one idea: agents should be accountable teammates, not bots on the side. It is inspired by the ideas of Loop Engineering.
With Aruvi, teams get:
Modern style issues, projects, cycles, and boards
Lightweight docs next to the work
Structured knowledge that agents can read and write
MCP support, so tools like Claude Code, Codex, and Kiro can connect directly
Scoped API keys and assigned-only access for agents
Clear attribution for every comment, status change, proposal, and handoff
Code reviews on Github PRs.
The goal is simple: give every human and every AI agent the same shared source of truth, the same work queue, and the same audit trail.
I’d love feedback from the PH community, especially from founders and engineering teams already using coding agents: