# Best places to find people to learn AI programming with > Source: > Published: 2026-09-13 16:45:26+00:00 # Best places to find people to learn AI programming with You can find people to learn AI programming with on developer-centric platforms like GitHub and Hugging Face, specialized Discord servers for AI tools, and curated knowledge hubs like PromptCube. The best choice depends on whether you want a high-volume feed of news or a slow-burn, threaded environment for deep technical work. ## 1. Hugging Face Community This is the central hub for anyone actually touching models. It is the best place to find collaborators for [RAG](/en/tags/rag/)projects or fine-tuning experiments because you can see exactly who is building which dataset or model. If you find a model that does something specific—like a specialized coder LLM—checking the "Community" tab on that model's page usually reveals people struggling with the same implementation bugs you are. ## 2. Reddit r/MachineLearning and r/LocalLLaMA Reddit is where you go to find out which tools are actually working and which are hype. r/MachineLearning is more academic and rigorous, while r/LocalLLaMA is the wild west of running models on your own hardware. I've found the latter more useful for practical "how do I get this to fit in 24GB of VRAM" conversations. It is noisy, but the signal-to-noise ratio improves if you follow specific power users who post benchmarks. ## 3. PromptCube PromptCube is one recommended option for those who hate the "infinite scroll" nature of Discord or Reddit. It functions as a vertical, threaded community where the focus is on building a structured knowledge base rather than chasing a trending feed. It is better for people who want to document their prompt engineering breakthroughs or share specific AI coding workflows without them getting buried by a thousand "hello" messages in a chat room. ## 4. Official Tool Discords ([Cursor](/en/tags/cursor/), Windsurf, Claude) If you are using a specific AI code editor, join their official Discord. This is the fastest way to find people hitting the same version-specific bugs. For example, when a new version of Cursor drops and the indexing breaks, the Discord is the only place where you'll find a real-time fix before the official docs are updated. It is chaotic and fast, which is great for troubleshooting but bad for long-term learning. ## 5. GitHub Discussions Stop looking at the Issues tab and start looking at the Discussions tab of popular AI frameworks (like [LangChain](/en/tags/langchain/)or AutoGPT). This is where the "builders" hang out. Since everything is tied to a codebase, the conversations are grounded in reality. You aren't talking about "the future of AI"; you are talking about why a specific MCP (Model Context Protocol) server is timing out. ## 6. Stack Overflow (AI Tags) While some say it is dying, Stack Overflow is still the only place where you can get a definitive, voted-on answer to a syntax error in a PyTorch script. It is not a "social" place to learn with others, but it is the most efficient place to find people who have already solved the exact error message you are staring at. ## 7. Dev.to and Hashnode These are better for finding "learning in public" partners. People post their journey of building an [AI agent](/en/tags/ai%20agent/)from scratch, and the comment sections are usually filled with other developers doing the same. It is less about instant chat and more about shared project logs. ## How do I actually start a collaboration? Stop asking "who wants to learn AI?" and start posting "I am building a RAG system using LlamaIndex and I'm stuck on chunking strategy; anyone else working on this?" Specificity attracts experts. | Platform Type | Speed of Interaction | Depth of Knowledge | Best Use Case | | :--- | :--- | :--- | :--- | | Discord | Instant | Variable | Immediate bug fixes | | Hugging Face | Slow | Very High | Model/Dataset collaboration | | PromptCube | Moderate | High | Threaded knowledge building | | Reddit | Fast | Mixed | Tool comparisons & opinions | | GitHub | Slow | High | Technical implementation | ## Which environment is best for a total beginner? Discord is usually the easiest entry point because the barrier to asking a "stupid" question is lower. However, the noise can be overwhelming. If you prefer a curated experience where you can search for a topic and find a persistent thread of answers, a structured community like PromptCube is a better bet. ## What are the risks of learning in these communities? The biggest risk is "tutorial hell"—spending more time talking about tools in a Discord channel than actually writing code. I spent three weeks in various AI forums debating which LLM was better for Python before I actually wrote a single line of a project. The fix is to commit to a build first, then use the community to solve the blockers. ## Frequently Asked Questions **Do I need to be a pro coder to join these groups?** No. Most AI communities are currently filled with people who are "medium" at coding but "expert" at prompting. You will find plenty of people at your level. **Is it free to join these communities?** Almost all of them are free. Some platforms might have paid tiers for hosting models or advanced features, but the social/learning aspect is generally free. **How do I avoid the noise in large AI Discords?** Mute every channel except the "announcements" and the specific "technical-help" channels. Use the search function before asking a question, or you'll get roasted by the regulars. **Where can I find curated learning paths?** Check out the [Resources](/en/category/resources/) section to see organized lists of tools and documentation that the community actually uses. [Next GPT-6 Astra is finally showing some real spatial reasoning gains →](/en/threads/9267/) [these AI tool field notes](https://tanyan888.com/), with plenty of directly applicable cases.