Hey everyone! During last night's community call, we started sharing some awesome Cursor AI tips and tricks, and realized we should capture all this great insight in one place! I decided to create this post to gather all of your best Cursor AI tips, tricks, and workflow hacks. Afterward, I'll compile your contributions into our first-ever community-driven video for the YouTube channel. To get the ball rolling, here are 5 tips I've found incredibly useful: Tip 1: AI Model - Gemini 2.5 pro is the best model I've ever used. It does exactly what you ask most of the time. It doesn't wander off and do random things too often. It can also solve complex problems. Its context window is huge, so you can pass in a bunch of reference files for context. Tip 2: Cursor Rules - If you notice the model keeps making mistakes, update your cursor rules to instruct the model on what it should do. Tip 3: Open multiple chat tabs - When I'm working on a project, I like to go speed mode. While Gemini 2.5 pro is solving one problem, I open an extra tab to tackle a different problem. Usually, I have 2 to 3 tabs running AI simultaneously. It's like managing a team of engineers, constantly reporting back their work for approval or feedback. Tip 4: @docs - When consistently working with a new library or copying code examples from a specific page, I add that web page as an external doc. Just type @web followed by the link, and then you can ask questions about the docs. Tip 5: Create an ai_docs folder - I store my holistic project plan here. This plan outlines my high-level goals, tasks, and the reasons behind them. It’s a living document that I continuously update. When I open a new chat in Cursor, I easily reference this document. For large tasks, I create specific task documents containing detailed goals and subtasks. I create these documents with AI and then we tackle the subtasks together. Now, it's your turn. What are your favorite Cursor AI tip or trick? Drop in the comments below!

Hey everyone! Starting a YouTube channel as an AI developer has been one of the most rewarding decisions of my career. Here’s how it’s helped me: - 💼 Opened many new job opportunities that helped me 2x my total compensation in just two years. - 🎯 Allowed me to create courses and coach others, earning tens of thousands of dollars. - 🤝 Helped me connect with amazing people like you, build credibility, and expand my network. And here’s how it could help you: - 🚀 Land better jobs with your channel acting as an online résumé. - 🎓 Kickstart a career in freelancing or AI consulting by showcasing your portfolio. - 💡 Test and validate app ideas with your audience before committing months to development. I’m working on a video to show you exactly how to do this, but I need your help choosing the title: 🛠️ Option 1: "How to Start an AI Personal Brand" 🎥 Option 2: "How to Start a YouTube Channel as an AI Developer" The content will cover the same step-by-step process to help you build your audience, attract opportunities, and grow as an AI developer. I just want to know which title resonates more with you! If you have any other favorites, please drop in the comments 👇 (And if you have questions about starting your channel, let me know—I’d love to help!)

I wanted to give you a heads-up on an exciting new tutorial I’ve got in the works. This video is all about building a full-stack SaaS application that pulls in YouTube comments, processes them with CrewAI enterprise, and generates actionable content ideas. If you’re interested in building full-stack AI applications, this is for you! 🛠️ Here’s What You’ll Learn In this tutorial, I’ll guide you through each part of the process of creating this full-stack application. Here’s a breakdown: 1️⃣ Building the Frontend and Backend: We’ll use Next.js to set up the app and deploy it on Vercel. Plus, you’ll get hands-on experience connecting to a Neon Postgres database to manage data. 2️⃣ Integrating with CrewAI Enterprise: Learn how to harness CrewAI’s enterprise features to analyze YouTube comments, filter out casual messages, and focus on meaningful feedback. You’ll see how to create a system that automates data analysis and transforms raw comments into structured, actionable insights. 3️⃣ Generating Video Titles and Descriptions: We’ll configure CrewAI to turn filtered comments into potential video titles and descriptions. You’ll build a workflow that streamlines idea generation and content planning, using CrewAI’s advanced capabilities. 💡 Why This Tutorial is Worth Your Time This tutorial doesn’t just cover building one app—it teaches you how to apply the synthesize pattern for data processing, a core skill in AI development. Here’s why this matters: ✅ Real-World Adaptability: The synthesize pattern goes beyond YouTube. After learning it, you can apply it to dozens of other applications where large datasets need to be turned into insights. Imagine using this pattern for customer feedback, product analysis, or trend monitoring—there are endless opportunities to build your own AI-powered apps! ✅ Hands-On Full-Stack Skills: Get practical experience with tools like Next.js, Vercel, and Neon, and learn how to bring everything together into a seamless app. 📅 How to Catch the Release

Hey everyone! I’ve got some cool stuff in the works that I think you’re going to love. 🎥 Right now, I’m putting together a new YouTube video that’ll show you how to set up a vector database for free using Supabase’s Postgres vector DB. I’ll walk you through how to build the vector store, save data with embeddings, and make queries to pull relevant info. This video is part of a bigger series I’ve been working on. In the next one, I’ll teach AI developers how to build an email autoresponder so they can go sell it to their clients. 📨 Here’s the plan: ✨ Monitor client emails ✨ Store them in a vector DB ✨ Automatically generate draft replies It’s going to be a game-changer for anyone looking to add AI-driven automation to their services. 🚀 The vector DB crash course is dropping soon, so keep an eye out for it! If you’ve got any questions or ideas for future videos, hit me up in the comments. Cheers, Brandon 🧑‍💻🥂

Hey team! 🙌 I'm excited to announce that my latest tutorial on building Next.js applications using V0, Cursor, and Claude is now live! 🚀 This video is a must-watch for AI developers and freelancers looking to rapidly prototype MVPs and impress clients with quick delivery. 🎯 What You’ll Learn: 🔧 Master V0, Cursor, and Claw: Streamline your development process and go from idea to app in record time. ⏩ Three-Step Process for Building MVPs: Learn my proven approach to perform a brain dump, stub out your app, and add functionality quickly. ✨ AI Co-Pilot Design Pattern: As a bonus, I’ll show you how to build an AI co-pilot that helps real estate agents generate offers—adding real value to your MVP! Cheers, Brandon Hancock 🥂🧑‍💻 P.S. 👉 Grab the source code from the video here: ❤️ https://github.com/bhancockio/ai-real-estate-offers 💡 Want More? For a full crash course on the AI Real Estate Offer project where you can see the completed code, learn how to connect to a database, incorporate auth, deploy to Vercel and more, check out AI Developer Accelerator Pro. https://www.skool.com/ai-developer-accelerator-pro/about