So I haven't had the chance to dig into the classroom yet so I'm not sure if this is covered anywhere.. but this is my set of general vibe coding rules that I have been working on to use across all projects. This way I have a single "source of truth" for best practices to include on all builds and try to keep things clean. So far it has been working pretty well (from an amateurs perspective haha) and looking forward to stress testing it more. Please take it and use it for yourself if you don't have anything similar yet. Also, I would really appreciate any feedback from the more experienced devs/engineers in the group. 🙏 Edit for clarity: this doc is something I have been applying to all vibe coding projects. Not all projects in general. Another edit for clarity: I am just getting through Jake‘s ICM paper now along with the classroom material. I was not aware that he also refers to the claude.md as a global file to be handed off to the highest level orchestrating agent. This global.md would be better named something more specific and placed around layer 3 of the workflow (someone please correct me if I’m wrong). Anyways, hope this clears up any confusion there may be. Decided to change the name to vibe-code-rules.md for clarity =)

Not long ago I had absolutely no background in programming. I started learning out of pure curiosity after discovering AI and realizing how powerful these systems were becoming. At first everything felt overwhelming syntax, debugging, concepts I had never seen before but I kept showing up every day and building small projects. Fast forward a few months later, after countless hours of learning and experimenting, I managed to land my first role as a Junior AI Engineer. The journey wasn’t easy, but it proved to me that with consistency and the right resources, changing careers into tech is actually possible. I'm curious, has anyone else here made a similar transition?

As I embark on getting more familiar with Claude & Claude Code, I started wondering about Anthropic's privacy policies and used Claude to delve deeper in aims of gaining a better understanding. Thought I'd share some of the insights I've learned. This may be useful for those that are using Claude alongside client data. If you're using Claude Pro/Max, understand that this is a consumer product. Data retention is on by default and needs to be manually turned off, and depending on whether you have your Claude.ai training set up to improve the model, all data passed through chats is retained for up to 5 years if model training is turned on. If training is off, the data is retained for 30 days but only applies to new and resumed chats post change in settings. I extensively asked Claude if there was any trade off for turning this off, to which all responses summed up that there isn't. To check your settings, within Claude.ai go to Settings and disable the "Help improve Claude" toggle within "Privacy". A caveat worth noting is when you use the thumbs down/up option and provide feedback, this data is also retained for 5 years if the setting is enabled. Turning off the setting does not remove or delete any data that would have been stored already. Only new prompts, messages and responses from existing and new chats. To fully extend your right to erasure you will need to email "privacy@anthropic.com". For the UK/EU mandem, you have the right to erasure under GDPR. Anthropic must always respond within 30 days of sending your request over. This right exists regardless of your plan or improve setting. I had a hard time wrapping my head around the different plans and what they meant. So Claude gave me the analogy below unprompted which I wanted to include: "A useful way to think about the different plan tiers: Think of it like a solicitor's office. On Pro/Max, the receptionist writes down everything you say and the firm keeps those notes for 5 years, potentially using them to train new staff.

You just finished the setup lesson. Vote below so we know where everyone is starting from. If you picked "Something else," drop a comment and tell us what.

Hey everyone, Curious what the community is running in production or for daily development. Are you mainly using OpenAI, Anthropic, open-source models, or something else? And more importantly why did you choose it? (performance, cost, context window, tooling, etc.) Also curious about your workflow: what IDE are you using with it? VS Code, Cursor, Antigravity, or something else? Would love to hear: • Your main LLM provider • Your IDE / dev setup • One reason you stick with it Always interesting to see what people actually use vs what’s trending.