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best practice

Prevent Context Loss in Long Sessions with /compress-fast

Keep your AI focused during long-haul tasks with instant context compression.

Use the /compress-fast command to clear out non-essential tokens from your session while maintaining vital project memory for long-running tasks.

Qwen

The Scenario

You are working on a massive legacy codebase migration that requires hours of back-and-forth interaction. You notice the AI is losing track of the architecture due to the long conversation history.

Before & after

The old way

During a long coding session, the AI starts 'forgetting' the original project requirements because the chat context is full of detailed logs. Manually pruning the chat or restarting takes 5–10 minutes.

With AI

Invoke the /compress-fast command or let the rewritten engine handle it; the AI retains the most critical project context while discarding noise. This happens in under 30 seconds.

Source

Qwen Code Blog: AI Coding Updates and Guides | Qwen Code Docs
"/compress-fast instant compression... compression engine rewrite solves the critical issue of losing context during long tasks."