The commissioning process can be optimized with the following features:
- checkpoint system: Critical operations (e.g. code generation) are automatically saved in a state that can be rolled back to a historical version at any time to compare differences.
- parameterization: Adjust the temperature (recommended 0.7) and the maximum number of tokens in the settings to control the output randomness and length.
- Real-time feedback: Auto-highlighting of code snippets in streaming output, support for Markdown rendering, and direct copying to a local editor for testing.
- error analysis: The logs are stored in the logs/ directory and can be used in conjunction with session history to trace back to the root cause of the problem.
For example, if you upload the problem code and are prompted to "Optimize this Python loop", Claude will return suggestions for improvement, and you can compare the performance difference before and after the optimization via checkpoints.
This answer comes from the articleClaude Workbench: A Windows Desktop GUI Tool for the Claude Code CLIThe
May not be reproduced without permission:AI productivity tools " How to achieve efficient code debugging with Claude Workbench?
English 
简体中文 
日本語 
Deutsch 
Português do Brasil