See "check my GitHub repo" everywhere but have no clue what people are talking about? Same here. So here's a simple explanation. What is GitHub? Think Google Drive, but for code. The big difference: it tracks a detailed history of every change. Every save-point. Every edit. By who, when, why. Why do people use it? → Version control - Want to go back to yesterday's code? No problem. → Collaboration - Multiple people on the same code without chaos → Backup - Your work is safe online → Portfolio - For developers, their GitHub is their resume What is a repo (repository)? Just a project. Building a website? That's one repo. All code, files, and history in one place. The basic flow: Create a repo (new project) Write/change code on your computer "Commit" your changes (save-point) "Push" to GitHub (upload) Others can "pull" (download) and work with it Private vs Public This one tripped me up: → Private repo = only you (and who you invite) can see it → Public repo = everyone can see and use your code For client work: ALWAYS private. Their business logic, API keys, custom flows - that shouldn't be public. Best practices you need to know: → Use branches (parallel worlds for your code - test new features separately) → Write clear commit messages ("Fixed login bug" not "fix stuff") → Create a README.md (explains what your project does) → Use .gitignore (keeps passwords and API keys out of your repo) Practical example for AI automation: You're building an AI chatbot for a client: Create repo "client-x-chatbot" (private) Claude Code writes the code Push to GitHub after each feature Client gets access (transparency) Bug? See exactly what changed New client? Copy the repo and adjust Deployment story GitHub is often the middle step: Write code → Push to GitHub → Automatic deployment to production Platforms like Vercel or Netlify deploy automatically every time you push to GitHub. This is called CI/CD (Continuous Integration/Continuous Deployment).

I’ve been using ChatGPT consistently for prompting and idea generation. I’ve also started learning n8n to build smarter automations. But if I’m honest, I don’t feel like I’ve fully mastered either. Part of me feels like I need to go back to basics, to actually master the fundamentals. For those of you who feel truly confident with automation, what did you focus on first?

We just crossed the 500-member mark here at AI Bits & Pieces. Wow! When I started this community, I simply felt that AI was becoming something bigger than tools or trends. It felt like true a shift in the way we would interact with technology — and I wanted to create a place where people could learn, explore, and apply it in a thoughtful way. What makes this milestone meaningful isn’t just the number. It’s the people. We have members who are: - Just beginning their AI journey - Deepening their prompting fluency - Building real systems and automations - Applying AI inside established businesses That range matters. It creates perspective. It creates better conversations. It creates learning in both directions. To everyone who has contributed, asked questions, shared insight, encouraged others, or quietly followed along — thank you. Your presence shapes this space. We’re going to continue refining the classroom, adding live sessions, and building clearer paths for each stage of the AI journey. I’m grateful you’re here. Thank you, @Michael Wacht