Resource Hub

Resource Hub

Curated links, cheat sheets, and more for vibe coding and prompt engineering.

Blog Posts on AI Style Transfer & Prompt Engineering

• OpenAI Blog: "Prompt Engineering Guide"
  Practical breakdowns and examples from the creators of GPT models.
• 100+ ChatGPT Prompt Examples – FlowGPT
  Varied examples that highlight stylistic and tone-based prompts.
• AI Prompt Engineering in 2025 – Lenny's Newsletter
  Podcast and article with Sander Schulhoff covering the latest research, techniques, and real-world lessons in prompt engineering, security, and AI product development.
• Prompt Engineering Best Practices – Bridgemind AI
  A practical guide to prompt engineering fundamentals, advanced tips, and real-world use cases for maximizing AI output quality.

Community Prompt Galleries & Libraries

• Awesome ChatGPT Prompts
  A massive, community-curated list of creative, professional, and playful prompts.
• PromptBase
  Marketplace and gallery for prompts, including many with a distinct "vibe."
• FlowGPT
  A searchable, community-driven prompt library with ratings and comments.
• Snack Prompt
  A versatile, community-rated prompt hub offering both free and premium prompts for content, design, and more.
• Anthropic's Prompt Library
  Comprehensive prompt library for Claude, featuring dual-system prompts for advanced chatbot and content generation.

Research on LLMs, Linguistic Style, and Prompting

• How to Generate Text: A Guide to Prompt Engineering – Lilian Weng, OpenAI
  In-depth look at patterns, including style and persona.
• A Taxonomy of Prompt Modifiers for Text-to-Image Generation (arXiv, 2023)
  Explores how modifiers (like "in the style of," "moody," etc.) affect outputs.
• Prompting GPT-3 To Be Reliable (Microsoft Research, 2022)
  Touches on tone, control, and reliability.
• Large Language Models Understand and Can Be Controlled By Linguistic Style (Stanford/Meta, 2023)
  Research into how well LLMs grasp and reproduce stylistic instructions.
• On the Opportunities and Risks of Foundation Models (Stanford, 2021)
  Includes discussion of model controllability and stylistic prompting.

Further Exploration

• Prompt Engineering Guide (Awesome-LLM Resources)
  A comprehensive, continually updated set of guides and references.
• Reddit Communities: r/ChatGPT , r/PromptEngineering
  Active forums for sharing, learning, and discussing prompt engineering and vibe coding.

Tip

Bookmark these resources and revisit them often—prompt engineering and vibe coding are fast-evolving fields, and active communities are the best place to learn new tricks!