DietrichGebert/ponytail — Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.

What happened

A GitHub project called Ponytail, by developer DietrichGebert, was shared as a tool for AI coding agents. Its goal is to make the agent act like a very experienced, lazy developer: write the smallest code that still works. The project says it is now on version 5 and works with 20 agents.

Key numbers

• Ponytail 5 claims -53% code, -41% time, -26% cost and -45% tokens compared with the same agent without it.
• The project says 98% of risky logic ships with a test, versus 68% without Ponytail.
• The benchmark used 39 tasks, including a real FastAPI and React repo, with Opus 5.5 and 5 runs each.
• The project is under the MIT license, a permissive open-source license.

Some background

AI coding agents are programs that write and change code on their own. They can often produce long, messy code. A 'skill' is a set of extra instructions that shapes how the agent behaves. Ponytail is one such skill, with the goal of keeping code short.

Why it matters

Shorter code is often easier to read, fix and maintain. If the project's numbers hold up, it could save time and money for teams that use AI agents. These results come from the project's own benchmark, so independent testing would be needed to confirm them.

What to watch

• Whether independent tests match the project's benchmark numbers.
• How many of the 20 supported agents work well in real projects.
• Whether the 'short code' approach keeps code safe and easy to maintain over time.