Running agents in parallel, in practice
Run fleets of coding agents without collisions. Each guide gives the mechanics and the exact commands.
$ npx @retasc/cli@latest bindStart where your stack is
seven guides, 6 to 8 minutes eachTurn GitHub Issues into a work queue your agents drain
Connect a repo and its issues sync in as a claimable, deduped queue. Done in Retasc closes the issue at the source.
Run multiple Claude Code agents in parallel
A git worktree per agent, a shared queue with atomic claims, and checkpoint handoffs when an agent dies.
Claude Code subagents: dispatching waves with next_batch
One orchestrator session, N subagents, and a server that guarantees the wave is safe to run.
Claude Code agent teams: what they coordinate, and where they stop
A shared task list, file-locked claiming, and teammates that message each other, all scoped to one lead session. Where that ends.
Cursor background agents on a shared backlog
Cloud Agents take their MCP servers from the dashboard. The setup that works, and the one that silently does not.
What is an agent swarm, and how do you keep one from colliding?
The definition, the three failure modes, and the three server-side controls that make a swarm usable.
Linear vs Jira vs an agent-first tracker
The tracker evaluation changes when agents work the backlog. The new criteria, and a reversible migration.
$ npx @retasc/cli@latest bind