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.
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.
The “What its rules say” notes summarise each subreddit’s own published rules as archived in January 2025. Moderators change rules without notice, so open the current rules (linked on each card) before you post.
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This guidance reflects how our team actually works on Reddit. We research subreddits by hand, read each community's posting rules and moderator guidelines before recommending it, and spend time reading threads to understand the tone and what genuinely earns upvotes. Our recommendations favour community-first participation, useful posts and honest comments, over promotional shortcuts. Subreddit rules change, so re-read a community's current rules before you post.
Dedicated prompt engineering community covering prompt design and LLM interaction patterns.
Best content types
Posting tip
Substantive prompt content with reproducible examples earns engagement.
Massive 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.
What its rules say (archived January 2025)
Posts must relate to ChatGPT or AI. Posts focused on advertising another LLM service belong in the pinned weekly self-promotion megathread. Current rules
OpenAI community where prompt techniques for GPT models get discussed.
Best content types
Posting tip
API-focused prompt content with code examples earns engagement.
What its rules say (archived January 2025)
'Limit Self-Promotion' sets a 1/10th guideline, does not allow direct link posts to your own project, and asks for a text post explaining its value and uses. 'No Selling' bans selling products. Current rules
Prompt engineering for software development specifically. Useful for code-generation and dev workflow content.
Best content types
Posting tip
Developer-focused prompt content earns engagement.
What its rules say (archived January 2025)
'No spam or advertisements' asks members not to post ads for commercial products or services, self-promotion included. Current rules
Local LLM community where prompts for open-source models get discussed.
Best content types
Posting tip
Open-source model prompt techniques earn engagement.
What its rules say (archived January 2025)
'Limit Self-Promotion' uses the 1/10th guideline (promotion at most 10% of your content) and, when you share your own project, asks for non-sensational titles and no affiliate links. Current rules
Smaller prompt design specific community focused on prompt craft.
Best content types
Posting tip
Specialised audience values substantive prompt design content.
What its rules say (archived January 2025)
Three rules: posts must be relevant to language models, share only quality links and content (no clickbait news), and be kind. Current rules
ChatGPT 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.
What its rules say (archived January 2025)
Self-promotion is allowed if it is not excessive and follows Reddit's self-promotion policy, but offering, selling or buying products or services, prompts included, is prohibited, as is soliciting with coupons. Link posts must use the original headline, and paywalled articles are removed. Current rules
Midjourney community where image-generation prompts get shared and refined.
Best content types
Posting tip
Visual prompt content with sample outputs earns engagement.
What its rules say (archived January 2025)
Under 'No Advertising or Spam', profile and social links in comments are usually fine, but sales links to commercial products, promoted pages or accounts are not, and marketing must not be the point of a post. Posts must relate to Midjourney and be your own original content. Current rules
Stable Diffusion community for image-generation prompt engineering.
Best content types
Posting tip
Substantive SD prompt content with workflow detail earns engagement.
What its rules say (archived January 2025)
'Limited self-promotion' lets open-source, free or local tools be promoted once per tool, guide or update; paid services and paywalled content can be shared only in the weekly promo thread. Every post must relate to open-source or local image generation. Current rules
LangChain community where prompts for agent and chain patterns get discussed.
Best content types
Posting tip
LangChain-specific prompt content earns engagement.
What its rules say (archived January 2025)
Posts must be relevant to LangChain or related topics; spam is removed and habitual spam can cost posting privileges. Current rules
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.
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.
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.
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.
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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