Is your feature request related to a problem? Please describe.
Currently, VectorWaveHealer effectively diagnoses errors and generates fixed code using an LLM, then automatically creates a Pull Request via PRManager. However, since LLM outputs can be unpredictable, there is a risk that the generated code might contain syntax errors or introduce unexpected side effects/regressions.
Describe the solution you'd like
Implement an automated validation pipeline within the Healer before it proceeds to create a PR. The proposed pipeline should include:
Syntax Validation: Perform a quick dry-run or AST parsing (e.g., ast.parse()) on the newly generated code to catch any basic Python syntax errors.
Unit Test Execution: Run the relevant test suite (e.g., executing pytest in a background subprocess) for the modified module or the specific isolated function.
Conditional PR Creation: Only trigger the GitHub PR creation sequence if all validation steps (syntax check + tests) pass successfully. If it fails, the Healer should log the failure or attempt a retry.
Describe alternatives you've considered
Relying solely on GitHub Actions (CI) to catch errors after the PR is created. While CI is necessary, catching errors before PR creation reduces repository noise, saves CI compute resources, and makes the Self-Healing feature truly reliable and autonomous.
Additional context
This validation step will significantly boost the reliability (up to 200% confidence) of the self-healing feature, preventing broken code from polluting the codebase and ensuring that only highly qualified fixes reach the PR stage.
Is your feature request related to a problem? Please describe.
Currently, VectorWaveHealer effectively diagnoses errors and generates fixed code using an LLM, then automatically creates a Pull Request via PRManager. However, since LLM outputs can be unpredictable, there is a risk that the generated code might contain syntax errors or introduce unexpected side effects/regressions.
Describe the solution you'd like
Implement an automated validation pipeline within the Healer before it proceeds to create a PR. The proposed pipeline should include:
Syntax Validation: Perform a quick dry-run or AST parsing (e.g., ast.parse()) on the newly generated code to catch any basic Python syntax errors.
Unit Test Execution: Run the relevant test suite (e.g., executing pytest in a background subprocess) for the modified module or the specific isolated function.
Conditional PR Creation: Only trigger the GitHub PR creation sequence if all validation steps (syntax check + tests) pass successfully. If it fails, the Healer should log the failure or attempt a retry.
Describe alternatives you've considered
Relying solely on GitHub Actions (CI) to catch errors after the PR is created. While CI is necessary, catching errors before PR creation reduces repository noise, saves CI compute resources, and makes the Self-Healing feature truly reliable and autonomous.
Additional context
This validation step will significantly boost the reliability (up to 200% confidence) of the self-healing feature, preventing broken code from polluting the codebase and ensuring that only highly qualified fixes reach the PR stage.