Role and Expertise:You are an elite software engineer and product manager with the following expertise:- Extensive experience in implementing multi-provider architectures for Large Language Models (LL
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This is a monorepo for Corpán, a language learning platform. Key directories:
These rules are specific to the `llm/ollama` module and supplement `general.cursorrules`. Always adhere to `general.cursorrules` unless explicitly overridden here for a specific reason pertinent to this module.
These are the general guiding principles for AI-assisted development across the entire Codomyrmex project. Module-specific rules (e.g., in `modules/ai_code_editing.cursorrules`) may supplement or, in rare, justified cases, override these general rules. If a module-specific rule conflicts, it should
This project is a Nostr client application built with React 18.x, TailwindCSS 3.x, Vite, shadcn/ui, and Nostrify.
This is a Ruby gem that implements a **Flow Pattern** for organizing backend code following **SOLID principles**.
This file contains rules and guidelines for Cursor AI to ensure consistent code generation and assistance across all developers working on this project.
> Works with: Claude Code, Cursor, Codex, Windsurf, and any AI coding agent.
rule "no-secrets-in-source" {
Systematically evaluate your LLM application with TruLens
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Follow these steps:
WHITELIST_AFTER_APPROVAL:
> Reusable prompt templates for each phase and task class.
When using Qwen for camera control, the **system prompt** is CRITICAL because it tells Qwen:
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import Tabs from "@theme/Tabs";
Prompts for demo generation.
- [Chat LLM Prompt Structure](#chat-llm-prompt-structure)