Optimize workflow for code debugging
While traditional debugging requires line-by-line analysis, Trae Agent provides intelligent bug fixing solutions:
- precise positioning: Enter the error message or suspected problem code file as a command, such as "Fix the IndexError in data_processor.py".
- Interactive debugging: Use
trae-cli interactiveEntering into dialog mode and progressively narrowing down the issues through multiple rounds of questioning - Patch Generation: Add
--must-patchParameters force generation of diff files for code review - Multi-model validation: Switch between different modeling providers to compare remediation options for critical issues.
Best Practice: It is recommended to save the debugging process as a separate trajectory file (-trajectory-file) to build a knowledge base of solutions to common problems.
This answer comes from the articleTrae Agent: open source software engineering task automation toolsThe
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