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Modular rule sets that AI agents must follow to ensure concise code implementations.
Distinct from Schema-Validated Rule Sets: Distinct from Schema-Validated Rule Sets: focuses on implementation constraints for AI agents rather than general logic triggers.
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Ponytail is an LLM code simplification framework and AI agent guardrail system. It provides rules and constraints designed to stop coding agents from producing unnecessary or overly complex logic, ensuring that AI-generated code remains minimal and maintainable. The project features a codebase complexity auditor that scans repositories and code diffs to identify over-engineered patterns and suggest deletions. It also includes a technical debt ledger to track and log deferred shortcuts and cleanup tasks. The framework supports an AI code review workflow and automated code simplification. Thes
Applies modular sets of rules that the AI must follow to ensure maintainable and concise implementation.