Python
How to Cut LLM Agent Costs Without Losing Quality
Headroom is an open-source local context compression layer that intercepts information flow before sending to LLMs, reducing token costs by 60-95% without losing accuracy.
#prompt-engineering
7 projects JavaScript
How to make an AI agent write minimal code and forget about overengineering
Ponytail is a ruleset and hooks for LLM agents that forces models to write minimal code, use native features, and skip overengineering. Benchmarks show 54% less code and 20% lower costs.
JavaScript
Stop Writing Prompts Manually. How to Turn AI Agents into an Autonomous Assembly Line
Boris Cherni from Anthropic no longer writes prompts manually—automatic loops do it instead. Here's how Loop Engineering changes the game.
HTML
How to Train AI to Write Proper Documents Instead of Fluff
Turn vague AI prompts into professional documents with 700+ ready-made Markdown instructions for engineers, lawyers, and marketers.
JavaScript
How to Clean Text from AI-Generated Clichés Using avoid-ai-writing
A guide to using avoid-ai-writing, an open-source tool that removes AI-generated clichés from text generated by language models.
Python
How to Make a Neural Network Output Valid JSON Without Workarounds and Retry Requests
Outlines library guides text generation at the token level, guaranteeing valid JSON output without retries or regex fixes. Supports Pydantic schemas, regex, and multiple inference backends.
TypeScript
Prompt Optimizer: How to Make Neural Networks Understand You from Half a Word
Prompt Optimizer solves the common problem of getting wrong answers from AI by optimizing prompts. With 12.6k GitHub stars, it offers two-stage optimization, local processing, and cross-platform support.