AI Briefingponytail: AI Agent Skill That Reduces Code by 54% and Costs by 20%
DietrichGebert/ponytail
About the project
This skill guides AI coding agents to prioritize standard libraries and native platform features over installing unnecessary dependencies or writing complex wrappers. In real-world feature tasks across FastAPI and React-based repositories, it achieved an average of 54% less code compared to existing agents. In specific cases of over-engineering, code reduction reached up to 94%.
Rather than simply shortening code, it follows a 7-step decision ladder starting with the question: 'Is this feature really necessary?' It checks for reuse of the existing codebase, standard libraries, and native features in that order, retaining only the minimal implementation. This process ensures no safety measures such as security validation, error handling, or accessibility are omitted, maintaining 100% safety.
It operates as a plugin for major AI development tools including Claude Code, Codex, GitHub Copilot CLI, and Gemini CLI. As a ruleset applied after the agent understands the problem, it prevents the model from repeating unnecessary reasoning. This results in secondary benefits of 20% lower token costs and 27% faster processing time.
DietrichGebert/ponytail
Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.
JavaScript
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