Customized Evolutionary Strategy Development Guide
The modular design of SE-Agent supports in-depth customization, and the following process should be followed to develop a custom operator:
- Inherit the base class: Import TemplateOperator as parent class from SE.operators
- Core method implementation: Override the _generate_content method, which takes three key parameters:
- instance_info: current issue metadata
- problem_description: description of the problem
- trajectory_data: historical trajectory data - Strategy Registration: use @register_operator decorator or explicitly call register_operator function
- Configuration Integration: Add a new operator to the operators section of the YAML configuration file
EXAMPLE: The following evolutionary logic can be designed when developing code security review-specific operators:
1. Extraction of past vulnerability patterns from trajectory data
2. Use of AST analysis to identify potentially hazardous code structures
3. Generation of hardening recommendations in conjunction with OWASP rules
Debugging tip: Test the operator logic with -mode demo first, then access the real API.
This answer comes from the articleSE-Agent: a framework for self-optimizing AI intelligencesThe
May not be reproduced without permission:AI productivity tools " How to implement custom evolutionary strategies to cope with domain-specific programming problems?
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