I am not saying I am excited, but it is Shipkit Launch day tomorrow!! 1 Day 15 hours for me. Cant wait. Updated my Mac's and PCs to latest updates, Cleared my Calender for Saturday and Sunday. No doubt the better half will have tasks for me to do, and I have my volunteering commitments all day Saturday (but thats UK daytime). Night time though, its gonna be Shipkit!!

Victoriously connected my Windsurf agentic IDE to an EC2 instance that has an A10 GPU to fasten the AI development process. I used a the VPN service provider TailScale to connect my Windsruf to the EC2 instance as a remote connection. This allows my AI environment to remain secure, SOC-2 complaint, and accelerates my coding and testing iteration rate X10! (which saves me time and my client $$$). Now, I get to deploy models inside this A10 NVIDIA GPU, test agentic systems and RAG systems in a near-production environment with the power of agentic IDEs 🔥

What are your thoughts and have you noticed any 'annomalies' with the siftware you use. specificaly dev software like Cursor etc?

🚀 Big Announcement In just 10 days (Friday, September 27) we’re officially launching something I’ve been waiting to share with you for a long time. It’s called Shipkit.ai. 👉 You can pre-order today and lock in $100 off before launch 💡 Why I built Shipkit.ai Over the past few years I’ve taught thousands of developers through my YouTube channel (75,000+ subscribers) and inside my community (nearly 10,000 members). I kept seeing the same roadblocks stop good ideas from ever shipping: - Which stack should I choose? - How do I connect all the pieces? - I built a demo on my laptop… but how do I deploy a real product people can actually use? Advice helps, but it isn’t enough. Developers don’t just need tips — they need working projects. 🛠️ What Shipkit.ai gives you Shipkit.ai gives you everything you need to go from idea → production-ready AI app. You’ll start with working templates for the most common AI applications: - AI chat - RAG - ADK workflows Shipkit walks you through each one step by step so you know exactly how to customize and launch it as your own. No guesswork. No dead ends. Just shipping. The course inside Shipkit shows you every stage of the journey: - Idea → Development plan - Plan → Working code - Code → Deployed application in production And at every step, you also get prompt templates that show the AI how to take action for you. These help you move faster and avoid getting stuck so you can focus on shipping real applications instead of wrestling with the process. ✅ Proof it works Shipkit.ai was built with Shipkit. To prove it, I used the RAG template inside Shipkit to build this very platform. That means you’re not just getting theory — you’re learning from the exact system that produced Shipkit.ai itself. The same step-by-step process that takes you from: - Idea → Plan - Plan → Code - Code → Production

Hey folks, Small W here...my client is transitioning towards hosting his AI infrastructure into AWS. In my attempt to always bring value, I recommended him to apply for credits with AWS's Active Credits program, which targates for startups. He applied and got approved $1,000 worth of free credits! Is not as much as Paul's $25,000 Azure credits recommendation, but something is something :) If you are thinking of creating your AI Infra in AWS, please do apply: https://aws.amazon.com/startups/credits?lang=en-US