Execute Complex Refactors using Autonomous Goals and Auto-Approval
Set high-level objectives and let AI handle the execution autonomously.
Utilize the /goal command and Auto Approval gates to allow the AI agent to complete complex tasks without constant manual oversight.
The Scenario
You have a large refactoring task that requires changing multiple files and verifying them with tests, but you need to focus on a different meeting or task simultaneously.
Before & after
A developer sits and watches the terminal, manually reviewing and approving every file change and command execution, which can take 15-20 minutes for complex refactors.
Use the /goal command to let the agent run autonomously. It uses an internal judge model to detect 'impossible' tasks and only interrupts you for critical approvals, finishing in 2-5 minutes.
The Prompt
/goal [DESCRIBE_COMPLEX_CODING_TASK_HERE] --auto-approve-safe-tasks
The /goal feature is designed for autonomous coding, paired with 'Auto Approval' which utilizes an LLM classifier to filter out routine tasks from those requiring human intervention.
Source
Qwen Code Blog: AI Coding Updates and Guides | Qwen Code Docs"Qwen Code v0.16.0 follows suit—plus an independent judge model and impossible-goal detection."