Execute Complex Feature Requests Autonomously with /goal
Set high-level objectives and let the agent manage the execution loop.
Initiate the /goal command to trigger autonomous coding mode, where an independent judge model confirms task completion or identifies blockers.
The Scenario
You need to implement a complex feature that requires several steps, such as setting up a new API endpoint, creating a database schema, and writing unit tests. You want the AI to manage the entire workflow completion.
Before & after
A coder manually types out a prompt, waits for a response, copies the code to the IDE, runs a test, and then goes back to the AI to report errors. This cycle often takes 30–45 minutes for complex goals.
Use the /goal command with built-in impossible-goal detection; the agent handles the loop of coding and testing, and if it fails, a judge model tells you why. This takes 2–5 minutes of setup.
Source
Qwen Code Blog: AI Coding Updates and Guides | Qwen Code Docs"/goal autonomous coding... plus an independent judge model and impossible-goal detection."