system-prompts-and-models-of-ai-tools and lovable-prompting
These are complements: the first is a broad collection of system prompts for multiple AI coding tools (including Lovable), while the second provides specialized prompting strategies and examples specifically optimized for Lovable's workflow.
About system-prompts-and-models-of-ai-tools
x1xhlol/system-prompts-and-models-of-ai-tools
FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus, NotionAI, Orchids.app, Perplexity, Poke, Qoder, Replit, Same.dev, Trae, Traycer AI, VSCode Agent, Warp.dev, Windsurf, Xcode, Z.ai Code, Dia & v0. (And other Open Sourced) System Prompts, Internal Tools & AI Models
This project compiles system prompts, internal tool specifications, and underlying AI models for various commercial AI tools, including coding assistants and general-purpose AI platforms. It provides insights into how these AI systems are engineered to perform their tasks. Developers, researchers, and security professionals can use this to understand, analyze, or reverse-engineer AI tool behaviors.
About lovable-prompting
zoar-ui/lovable-prompting
🤖 Master AI prompting with clear strategies and examples to enhance efficiency and accuracy in building applications with Lovable.
I appreciate you providing the materials, but I need to be honest: the README doesn't contain the technical depth needed to write an accurate summary following the guidelines you've set. The README describes a desktop application for generating prompts, but it lacks: - Specific technical architecture details (what framework, language, or approach it uses) - Integration points or ecosystem context beyond "Lovable" - Concrete capabilities beyond generic "prompt generation" **The problem:** Writing a technical summary with fabricated specifics would mislead developers. I could guess it's an Electron app or similar, but that wouldn't be based on the actual documentation. **My recommendation:** Either: 1. Provide a more detailed README section that covers architecture/integrations 2. Check if there's additional documentation (ARCHITECTURE.md, contributing guide, etc.) 3. Let me write a minimal but honest summary: "Provides a standalone desktop application for generating AI
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