1 Repo
Awesome GitHub RepositoriesAI-Driven Patch Generation
Systems that use LLMs to automatically generate and validate code fixes for verified security vulnerabilities.
Distinct from Patch Generators: Focuses on the generative AI aspect of patch creation rather than just exporting diff formats.
Explore 1 awesome GitHub repository matching software engineering & architecture · AI-Driven Patch Generation. Refine with filters or upvote what's useful.
Awesome AI-Driven Patch Generation GitHub Repositories
Finde die besten Repos mit KI.Wir suchen mit KI nach den am besten passenden Repositories.
- anthropics/defending-code-reference-harness
anthropics/defending-code-reference-harness
6,224Auf GitHub ansehenThis project is a framework for the autonomous discovery and remediation of security vulnerabilities using large language model agents. It functions as a security research pipeline that automates the process of reconnaissance, crash discovery, and exploitability analysis to identify reproducible software bugs. The system distinguishes itself by utilizing a containerized agent sandbox that restricts network egress and filesystem access to prevent host compromise. It employs a specialized patch generation and validation loop, which includes adversarial re-attack testing where a fresh agent atte
Generates candidate code fixes for verified vulnerabilities and validates them via adversarial re-attack loops.
Python
