Best subreddits for prompt engineers, prompt designers, and LLM application builders
Where prompt patterns get tested with real outcomes — not the LinkedIn "ChatGPT is amazing" cycle.
Prompt engineering Reddit is where practitioners share prompt patterns, debate techniques (chain-of-thought, few-shot, ReAct), and discuss the practical realities of building with LLMs. These subreddits concentrate the practitioners actually shipping LLM applications. Use them for substantive prompt techniques, pattern discovery, and the kind of practical depth that determines what actually works in production LLM applications.
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r/PromptEngineering
60k+ membersDedicated prompt engineering community covering prompt design and LLM interaction patterns.
Best content types
Posting tip
Substantive prompt content with reproducible examples earns engagement.
r/ChatGPT
5M+ membersMassive ChatGPT community where prompt patterns and techniques get shared widely.
Best content types
Posting tip
Practical prompt patterns with clear use cases outperform theoretical content.
r/OpenAI
1.5M+ membersOpenAI community where prompt techniques for GPT models get discussed.
Best content types
Posting tip
API-focused prompt content with code examples earns engagement.
r/aipromptprogramming
20k+ membersPrompt engineering for software development specifically. Useful for code-generation and dev workflow content.
Best content types
Posting tip
Developer-focused prompt content earns engagement.
r/LocalLLaMA
600k+ membersLocal LLM community where prompts for open-source models get discussed.
Best content types
Posting tip
Open-source model prompt techniques earn engagement.
r/PromptDesign
5k+ membersSmaller prompt design specific community focused on prompt craft.
Best content types
Posting tip
Specialised audience values substantive prompt design content.
r/ChatGPTPro
50k+ membersChatGPT Pro/Plus user community covering advanced use cases and capabilities.
Best content types
Posting tip
Pro-tier specific content earns engagement in this paying-user community.
r/MidJourney
1.5M+ membersMidjourney community where image-generation prompts get shared and refined.
Best content types
Posting tip
Visual prompt content with sample outputs earns engagement.
r/StableDiffusion
1M+ membersStable Diffusion community for image-generation prompt engineering.
Best content types
Posting tip
Substantive SD prompt content with workflow detail earns engagement.
r/LangChain
40k+ membersLangChain community where prompts for agent and chain patterns get discussed.
Best content types
Posting tip
LangChain-specific prompt content earns engagement.
General posting guide for Prompt Engineering subreddits
Prompt engineering subreddits reward substantive patterns with reproducible examples. Share prompts with context (model used, parameters, expected output), share patterns that solve real problems, and engage with iteration in comments. r/PromptEngineering is the dedicated community; r/ChatGPT and r/OpenAI cover application-specific prompts; r/MidJourney and r/StableDiffusion cover image-gen prompts. The community values substantive techniques over generic "be specific in your prompts" advice.
Frequently asked questions
Is prompt engineering a real discipline or marketing hype?
Real discipline with growing rigour. r/PromptEngineering and adjacent subs document substantive techniques (chain-of-thought, few-shot, structured outputs, ReAct) with reproducible patterns. The discipline has matured significantly since 2022 with formal evaluation frameworks and pattern libraries. The marketing hype obscures the genuine technical depth.
Should I focus on r/ChatGPT or r/PromptEngineering for prompt content?
Both, with different content. r/ChatGPT reaches the largest audience and welcomes practical application prompts. r/PromptEngineering reaches the smaller specialised audience and welcomes deeper technique content. The same content rarely fits both — application showcases fit r/ChatGPT; technique deep-dives fit r/PromptEngineering.
How do image-generation prompt subs differ from text-LLM prompt subs?
Substantially. r/MidJourney and r/StableDiffusion focus on visual prompt techniques (style references, parameter combinations, model-specific syntax). r/PromptEngineering and r/ChatGPT focus on text-LLM prompt patterns. The skills overlap conceptually but the practical techniques are distinct.
Can prompt-focused tools and platforms reach engineers through these subreddits?
Yes, with substantive content. Tools whose teams share substantive prompt patterns, evaluation methodologies, or workflow content earn standing. Tools that promote features without substance get filtered. The community values practical patterns regardless of whether the source is a tool maker or independent practitioner.
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