There's a quiet problem with AI coding tools: they don't know how to stop. Ask one to build a simple date picker and it'll write 400 lines of custom code. A native HTML input would have done it in one.
That overbuilding has a real cost. More code means more places things can break, more time to debug, and more money every time you need a fix. A freelancer or developer who leans on AI tools can ship you something that looks impressive but quietly requires way more maintenance than it should.
What's happening
A GitHub project called Ponytail hit #3 on GitHub's global trending list this week, and it addresses this directly. One independent developer built it as a "lazy senior dev" ruleset for AI coding tools: before writing any custom code, the agent works through a 7-step decision ladder that asks whether a native HTML element, a built-in function, or a one-liner already solves the problem.
The results are concrete. Agents using Ponytail write 54% fewer lines of code on average and use 20% fewer AI tokens, which means lower costs if you're paying for API access. That 400-line date picker? It came out at 23 lines, using the browser's own built-in input.
It works as a plugin or skill for Claude Code, Cursor, GitHub Copilot, Gemini, and more than 20 other AI coding tools. MIT licensed, no paid tier, no account required. The repo has crossed 128,000 stars, and it was started by one person, not a company.
Try this this week
- Share the Ponytail repo with your developer or technical freelancer. Ask them to install the skill on their AI coding tool. It takes a few minutes, and it changes what they ship you.
- If you ask Claude, ChatGPT, or any other AI directly for code, start your request with this: "Use the simplest possible solution. Prefer native browser elements and built-in functions before writing any custom code."
- When reviewing anything an AI built for you, ask one question: what would a simpler version look like? If the answer is "about a tenth of this," something went wrong earlier in the process.
- When hiring for an AI-assisted project, ask candidates: how do you keep AI-generated code minimal? A good answer tells you they've thought about this. No answer tells you the same thing.
The bigger picture
build9 is built on one idea: ship the smallest working thing. That applies to code too. A shorter, simpler build is easier to hand off, cheaper to fix, and quicker to update when your business changes. Ponytail is what happens when one developer gets tired of AI slop and does something about it. That's worth knowing about, and worth passing along to whoever helps you with your tech.