Best subreddits for AI Developers

Subreddits for developers building with LLM APIs and AI infrastructure -- model choice, prompting, evals, RAG, agents, and shipping AI features that work in production.

01r/LocalLLaMA480k members
Local model runners and open-weight model builders
Strongest technical community for evaluating open-weight models, quantization, inference, and self-hosted AI stacks.
What to post
Ask about model selection, quantization tradeoffs, or inference performance with hardware and workload context; share benchmarks comparing open models on a specific task.
What to avoid
Closed-API product pitches, prompt-engineering courses, and generic AI hype posts.
Key rule
Posts should center on open-source or locally runnable models, not closed APIs.
02r/MachineLearning3.2M members
ML researchers, engineers, and applied AI practitioners
Useful for serious technical questions around model behavior, training, evaluation, and applied research relevant to LLM developers.
What to post
Ask methodology questions about evals, fine-tuning, or RAG with concrete experimental setup; share reproducible results or implementation lessons with code or data.
What to avoid
Product launches, beginner career questions, and link-only blog drops outside the weekly threads.
Key rule
Promotional content and beginner career questions belong in the designated weekly threads, not as standalone posts.
03r/LangChain95k members
Developers building with LangChain, LlamaIndex, and agent frameworks
Direct fit for developers wiring up LLM apps, agent workflows, retrieval pipelines, and tool-using systems.
What to post
Ask for help debugging an agent loop, retriever, or chain with the actual code and inputs; share what changed when you swapped models, prompts, or memory strategies.
What to avoid
Course promotion, vague 'is LangChain dead?' takes, and tutorial blog drops.
Key rule
Self-promotion and tutorial spam are removed; help requests should include code, errors, and what you tried.
04r/OpenAI2.4M members
OpenAI users, developers, and API builders
Useful for developers shipping on the OpenAI stack -- API limits, model behavior changes, function calling, and Assistants quirks.
What to post
Ask about specific API behavior, model regressions, or function-calling edge cases with reproducible examples; share workarounds for documented quirks.
What to avoid
GPT screenshots without a developer angle, ChatGPT-vs-Claude debates, and 'what should I build' threads.
Key rule
Low-effort screenshots and consumer-side ChatGPT posts are routinely removed in favor of substantive discussion.
05r/ChatGPTCoding295k members
Developers using AI to code and ship products
Fits AI developers shipping AI-assisted tools, building copilots, or integrating code-gen workflows into real products.
What to post
Ask about evals, prompt design, or tool integration for code-gen workflows; share lessons from running LLM-based features against real codebases.
What to avoid
Affiliate links, course pitches, and 'AI killed my job' meta posts.
Key rule
Self-promotion is restricted; posts should teach or ask a real engineering question.
06r/programming6.5M members
Working programmers and engineers across stacks
Useful when the AI work is a serious engineering project -- evals, infra, architecture -- worth a broader technical audience.
What to post
Share substantive engineering write-ups about building AI systems with architecture, tradeoffs, and lessons; ask for critique on a technical design decision.
What to avoid
Hype posts, AI ethics flame bait, tool announcements, and blogspam.
Key rule
Posts must be substantive technical content, not news, opinion pieces, or promotion.

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