AI GitHub
ponytail
Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.
Key Takeaways
- Ponytail 5: rebuilt from the ground up. -53% code · -41% time · -26% cost · -45% tokens And yet: 98% of risky logic ships with a test.
- The ladder runs after it understands the problem, not instead of it: it reads the code the change touches and traces the real flow before picking a rung.
- Read the project documentation for installation, requirements and usage instructions.
- Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.
What ponytail does
Ponytail 5: rebuilt from the ground up. -53% code · -41% time · -26% cost · -45% tokens And yet: 98% of risky logic ships with a test. Without Ponytail: 68%. Benchmarked in Claude Code, the same agent with and without the skill: 39 tasks including a real FastAPI + React repo, Opus 5.5, 5 runs each. Details.
How it works
The ladder runs after it understands the problem, not instead of it: it reads the code the change touches and traces the real flow before picking a rung. Lazy about the solution, never about reading.
Lazy, not negligent: trust-boundary validation, data-loss handling, security, and accessibility are never on the chopping block.
Logic with a branch, a loop, a parser, money or security leaves one small test behind. Every reply ends with what was skipped or not checked and any risk you should know.
Explore the project
Read the project documentation for installation, requirements and usage instructions. The overview above draws on the project's README; follow the original documentation when setting it up.
Try it for your workflow
Explore the project’s documentation for setup and usage, or save this page to a collection for later.
Read the project documentation ↗