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Awesome GitHub RepositoriesModel Feedback Loops
Mechanisms for tracking performance and user feedback to iteratively improve AI model outputs.
Distinguishing note: Focuses on the feedback-driven tuning of automated logic rather than raw model training.
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Awesome Model Feedback Loops GitHub Repositories
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- continuedev/continue
continuedev/continue
31,451View on GitHubContinue is an automated code review platform that integrates AI agents directly into the software development lifecycle. By executing custom validation rules against pull request diffs, it provides immediate feedback through repository status checks, allowing teams to enforce quality, security, and documentation standards before manual review begins. The system distinguishes itself through a file-based configuration model where validation logic is defined in version-controlled markdown files. These files act as system prompts that guide autonomous agents in evaluating code changes. This appr
Refines automated check logic by tracking user acceptance and rejection of suggestions.
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