Ponytail: An Open-Source "Lazy Senior Dev" Skill Pack for AI Coding Agents DietrichGebert released Ponytail, an open-source skill pack that forces AI coding agents to follow a 7-step decision ladder to avoid over-engineering and reduce code bloat. The tool, which integrates with Claude Code, Cursor, and other environments, reportedly cuts generated code volume by 20-30% while preserving type-checking and tests. As developer adoption of autonomous AI coding assistants such as Claude Code, Cursor, and GitHub Copilot CLI reaches peak momentum, codebases are facing a new challenge: "AI bloat." AI models often tend to over-build—generating multi-file abstraction layers, injecting third-party dependencies, or re-implementing standard library functions when simple one-liners would suffice. Ponytail is an open-source skill pack developed by DietrichGebert to curb AI over-engineering. Built on the philosophy that "the best code is the code you never wrote," Ponytail forces AI agents to think like experienced senior developers, seeking the cleanest, lowest-footprint path to a working solution. Ponytail acts as a quality-control ruleset for AI coding clients. When an AI agent receives a prompt, Ponytail intercepts the task execution and forces the model through a strict 7-step decision ladder before writing code.