freeCodeCamp is a free, nonprofit online platform that offers hands-on coding tutorials, projects, and certifications in web development, data science, machine learning, and more. "AI-powered coding has evolved beyond simple chat interfaces. The latest leap forward is Claude Code, a command-line tool from Anthropic that lives directly in your terminal and understands your entire local codebase. We just released a comprehensive course on the freeCodeCamp.org YouTube channel to help you integrate this tool into your professional workflow." Beau Carnes https://www.freecodecamp.org/news/claude-code-for-beginners/

Are you using desktop or browser? both? Free or a paid version? What have you used it for? I’ll go first….

Before I get to the who and why, I want to say this plainly. Picking a winner this round was genuinely hard. I went through every submission. Pulled repos. Read identity files. Compared rules.md sections. Every entry did real work. A lot of you shipped something I would happily use, sell, or hand a client tomorrow. I can NOT explain to you how proud I am of everyone participating in these, you make this community worth and it and there is SO much potential for the future from just ONE competition let alone future ones. 💼 That part matters more than the prize. The $325 covers a year of Premium and that's great but... The portfolio piece is the real value here. A public repo of a working folder-based AI specialist with a clean README and receipts is a resume line that hiring managers can clone and test cold in five minutes. It is also something you can charge for. If you built a specialist that solves a real problem in a real domain, you already have most of what you need to license it to a peer in your industry, sell it as a service, or package it as a Done-with-You engagement. A few quick notes on that, because most of you did not realize what you actually built and I want to Highlight a few of you: 💸 @Nicolas Patron Uriburu USD Routing Coach AR could be sold to every Argentine indie consultor I know. Same playbook works for any country with FX restrictions. Subscription service, recalibrated annually, audit-pack included. It is a product. 🔗 https://github.com/Nicopatron/usd-routing-coach-ar 🔧 @Jannetje van Leeuwen RAMS specialist is a service business in waiting. Irish signage contractors will pay for this. Same model works for any trade with a regulatory documentation burden. Plumbing, electrical, fit-out, demolition. Each one needs its own folder. 🔗 https://github.com/JannetjeIQ/rams-irish-signage-installer

Most people think they have an AI problem. What they actually have is a packaging problem. You don’t need to become a developer to use AI effectively. This guide breaks down the real “code” behind better results: prompts, skills, connectors, MCPs, hooks, scripts, and plugins — and shows you exactly when (and why) to use each one. Check it out in Davids Corner: https://www.skool.com/cliefnotes/classroom/c7f102c7?md=9a0d198e1c0140578f37f1c93873c2b6

Most people are still treating LLMs like goldfish with infinite context windows. But the real power comes when you give your AI systems persistent, structured, and reliable memory. I’ve been diving deep into three distinct approaches: - Open Brain (OB1) — the personal exocortex - Poor Man’s Memory (PMM) — the ultra-lightweight, git-native path @Millenial Cat - Cognee — the structured graph + vector layer for serious agents Each represents a completely different philosophy for how we should capture, store, and retrieve context. Full breakdown dropping soon: architecture comparisons, strengths & tradeoffs, how they actually fit together in a real stack, and when I’d choose one over the others. If you’re building any kind of long-term AI workflow, personal knowledge system, or agent setup — this one’s for you.What’s your current memory strategy? Drop it below