Ruflo AI

Ruflo AI is an AI developer tool that provides a hosted agent-swarm workspace for coordinating Codex and Claude Code across a software team's delivery loop. Instead of running isolated chat sessions, Ruflo separates planning, implementation, and review into distinct but connected roles, then manages the handoffs between them. Teams use it to define bounded outcomes such as migrations, features, or pull-request reviews, delegate the coding work to AI agents, and review agent output before it reaches production. A core feature is durable context preservation: Ruflo records the information that helps the next workflow start well, including architecture constraints, accepted tradeoffs, and review notes, along with decision tracking that captures why a route was chosen, which test demonstrated the behavior, and which source of truth applies. This makes it well suited to teams where several people or agents touch the same delivery loop and project memory must persist across multiple work cycles. Typical starting workflows include repository changes, release-candidate checks, backlog triage, and small feature development.

Software teams use Ruflo AI to plan goals, delegate coding to Codex and Claude Code agents, preserve project memory and decisions, and review agent output before production.