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DietrichGebertAI agent code generation optimized for minimal output
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This project provides an AI agent persona designed to minimize code generation, promoting extreme efficiency and simplicity. Targeting developers who leverage AI for coding tasks, it aims to drastically reduce code volume, execution time, and cost by prioritizing existing solutions and minimal viable code.
How It Works
Ponytail operates on a strict, hierarchical decision-making process before generating any code. It first checks if the functionality is necessary (YAGNI), then if it exists in the standard library, native platform features, or installed dependencies. Only if these options are exhausted does it resort to writing a single line of code or the absolute minimum required to function. This "lazy, not negligent" approach ensures core aspects like security, validation, and accessibility are maintained while maximizing code reduction.
Quick Start & Requirements
Installation varies by AI agent framework:
/plugin marketplace add DietrichGebert/ponytailcodex plugin marketplace add DietrichGebert/ponytail or install via Open /plugins.pi install git:github.com/DietrichGebert/ponytail"plugin": ["./.opencode/plugins/ponytail.mjs"] to opencode.json.Highlighted Details
ponytail: comments, indicating potential upgrade paths./ponytail-review to identify and suggest code deletions within diffs.Maintenance & Community
No specific details regarding maintainers, sponsorships, or community channels (e.g., Discord, Slack) are provided in the documentation. Development includes scripts to ensure alignment of rule text copies across different agent configurations.
Licensing & Compatibility
The project is released under the MIT license, described as "The shortest license that works," suggesting broad compatibility for commercial use and integration.
Limitations & Caveats
The agent's core philosophy may lead to resistance or slow generation if users insist on complex, multi-line solutions that Ponytail deems unnecessary. Claims of "Zero bugs, zero CVEs, 100% uptime" are strong assertions requiring independent verification. Effectiveness is dependent on the underlying AI model's capabilities.
18 hours ago
Inactive
microsoft
yetone
Kilo-Org