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  3. Ponytail AI Skill | Lazy Senior Dev Agent Prompt | Trivyno

Ponytail: Make AI Agents Build Minimal, Safe Code

Stop AI assistants from creating bloated abstractions, unneeded dependencies, and speculative boilerplate.

View on GitHub

Limitations & honest drawbacks

  • Terse reasoning models that spend excessive thinking tokens deliberating the decision ladder can occasionally show slightly higher latency.
  • Requires developers to explicitly confirm if heavy abstractions or complex architectural components are genuinely needed.
GDPR-friendly

Ponytail operates entirely locally within your IDE or agent lifecycle hooks; no code or prompts are sent or saved to third-party tracking servers.

Ponytail (https://github.com/DietrichGebert/ponytail) is an open-source skill created by DietrichGebert that conditions AI coding agents (such as Claude Code, Cursor, Codex, and OpenClaw) to think like the laziest senior developer in the room: 'The best code is the code you never wrote.'

External signal: GitHub Repository: DietrichGebert/ponytail

What is Ponytail by DietrichGebert?

AI coding tools often over-engineer solutions by installing heavy third-party packages or building unnecessary custom classes. Ponytail (https://github.com/DietrichGebert/ponytail) solves this by enforcing a strict decision ladder before the model writes any code. Tested on real-world repositories, Ponytail yields on average ~54% less code, ~20% lower token costs, ~27% faster execution times, and maintains 100% security and safety.

The 7-Rung Decision Ladder

Before generating code, Ponytail forces the agent to stop at the first rung that holds: 1. Does this need to exist at all? (Skip if speculative / YAGNI). 2. Is it already in the codebase? (Reuse existing helpers/utils). 3. Does the stdlib do it? (Use built-in modules). 4. Does a native platform feature cover it? (CSS/HTML over JS/picker libraries). 5. Does an installed dependency solve it? (No new packages). 6. Can it be one line? (Make it one line). 7. Only then: Write the absolute minimum working code.

Key Capabilities & Performance Benefits

~54% Less Code Generated

Prevents over-building traps (e.g., reduces a 404-line custom date picker down to 23 lines of native platform code).

100% Safety Preserved

Unlike simple 'write one-liners' prompts, Ponytail never cuts trust-boundary validation, error handling, security, or accessibility.

Complements Caveman

Pairs perfectly with prose-compression prompts like Caveman: Caveman shrinks what the AI speaks, while Ponytail shrinks what it builds.

Technical Overview & Specifications

Repository URL
https://github.com/DietrichGebert/ponytail
Author
DietrichGebert
Supported Agents
Claude Code, Cursor (.cursor/rules), Codex, GitHub Copilot CLI, OpenClaw
License & Config
Open Source; requires zero config files to run

Frequently Asked Questions

Where can I find the official Ponytail source code?

You can access the full codebase, benchmark writeups, and installation guides on the official GitHub repository at https://github.com/DietrichGebert/ponytail.

How does Ponytail differ from generic terse prompt rules?

Generic 'be concise' prompts often sacrifice error checks and security to shorten output. Ponytail enforces a strict order of operations: understand the flow first, reuse standard/native platform features, and keep all validation intact.

How do I install Ponytail for Claude Code or Cursor?

For Claude Code, run '/plugin marketplace add DietrichGebert/ponytail'. For Cursor, place the '.cursor/rules/ponytail.mdc' file directly into your workspace rules directory.

Explore Ponytail on GitHub

Check out the official repository by DietrichGebert to start reducing code bloat across your projects.

View on GitHub

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