Run Autonomous Iterative Workflow Loop

v20260707

autopilot-loop

This function executes a full, autonomous iteration of the Claude Code workflow. It systematically checks the current status, predicts the optimal next action (e.g., editing code, running tests, spawning agents), executes the task, logs the results, and schedules the next wakeup. It discovers and processes tasks from team lists, swarm lists, and file checklists, ensuring continuous and automated progress toward a defined goal.

Autopilot Automation Workflow AI Development Scheduling

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Overview

Run one autopilot iteration using Claude Code's native /loop:

Check status: mcp__claude-flow__autopilot_status
If all tasks complete or max iterations reached, call mcp__claude-flow__autopilot_disable and stop
Get prediction: mcp__claude-flow__autopilot_predict for the optimal next action
Execute the predicted task (spawn agent, edit code, run tests, etc.)
Log via mcp__claude-flow__autopilot_log
Schedule next: ScheduleWakeup({ delaySeconds: 270, reason: "next autopilot iteration" })

Cache-Aware Scheduling

Always use delay 270s (under 300s cache TTL) to keep the prompt cache warm between iterations.

Task Sources

Autopilot discovers tasks from:

team-tasks: Claude Code TaskList entries
swarm-tasks: MCP task_list entries
file-checklist: Markdown checkbox items in tracked files

Configure: mcp__claude-flow__autopilot_config({ taskSources: ["team-tasks", "swarm-tasks"] })

Info

Category Development

Name autopilot-loop

Version v20260707

Size 1.27KB

Source ruvnet/ruflo

Updated At 2026-07-09