Guys, I need some genuine advice. I’m feeling really stuck right now. I spent the last 30 days Vibe Coding a fitness MVP for a client. I followed his documentation strictly—built the "Zero Decision" logic, the "Locked Goal" system, deployed it to Vercel, and set up the GitHub repo. The app works perfectly. Today, I went to deliver Milestone 1 (90% complete), and he sent me this: "The implementation looks like a traditional fitness tracker... a mismatch between the project vision and the execution direction. I think it would be better to mutually cancel this order." I am devastated. 1. I undercharged because I wanted the case study and the relationship. 2. I promised my mom the money would be here in 15 days, and now I have nothing to show for a month of hard work. 3. I even offered to pivot the UI (colors, landing page) for free to match his "psychological" vision, but he is pushing to cancel. My Question to the Community: How do you handle a client who loves the logic but hates the "vibe" at the very end? Should I fight the dispute on Fiverr since the work is done based on the PDF requirements? Or do I take the loss and move on? I put my heart into this. It feels unfair to lose everything because the "green wasn't calming enough" after the code is already written. Any advice on how to save this deal or get paid for my time?

OpenAI just held their latest DevDay, and honestly… this update might be the biggest shift we’ve seen since ChatGPT itself launched. They introduced Agent Mode and the new AgentKit Builder — which basically means:you can now build AI Agents that think, act, and use real apps like Spotify, Canva, Coursera, Replit, and more — all from inside ChatGPT. It’s like combining n8n, Zapier, and custom GPTs, all powered by the same intelligence that runs ChatGPT. In this video, I broke everything down simply — no hype, just what this actually means for builders like us: - 🔍 What Agent Mode really is (and how it’s different from GPTs or workflows) - 🧩 How the new AgentKit lets you connect real-world tools & APIs easily - ⚙️ How these agents can now autonomously perform multi-step actions — not just chat - 🚀 Why this could redefine how we build automations, MVPs, and even full businesses with AI I also shared some early examples and ideas for how this could fit into vibe coding — where AI composes the logic, connects the backend, and builds the app structure itself. We’re entering a stage where “talking to your AI” might literally build and run your business.What kind of Agent would you build first? —Shubham

Bolt recently dropped v2 with full Claude Code integration, and there’s been a ton of hype around it being the “next big thing” for AI app building. I decided to test it properly — not just for a day, but for a full week — and compare it with Lovable Cloud, which now lets you create a backend and integrate AI features literally in one click. Here’s what I learned after 7 days of real-world testing: - ⚡ The speed of Bolt v2 is impressive, but it still struggles with complex multi-step builds. - 🧠 Claude Code adds a big boost in reasoning, but the output often needs cleanup. - ☁️ Lovable Cloud’s one-click backend + AI integration still feels ahead in terms of usability. - 🤖 Bolt’s automation potential is there — but not yet as seamless as the hype makes it sound. I documented the full experience — the good, the frustrating, and what I think these tools mean for builders using AI to create real products. Curious — for those testing these new AI dev tools, what’s been your experience so far? Are we getting closer to “true AI development,” or still just scratching the surface? —Shubham

Lovable just dropped a huge update — Lovable Cloud — and it feels like a big shift in how we build software with AI. I spent some time testing it out, and here’s what stood out: - One-click backend → no need to connect Supabase or other services, Lovable sets it up instantly - AI features powered by Gemini for free → you don’t even need your own Gemini API key - Lovable Contest → they’re running a community challenge where you can win mystery prizes by building and sharing apps - Full-stack in minutes → I even used the update to build a Lovable clone inside Lovable itself What I really like about this release is how it lowers the barrier for non-technical builders — you can go from an idea → full app with backend + AI features faster than ever. I recorded a walkthrough of all the updates, plus the clone build, so you can see the new features in action Curious to hear — do you think tools like this are going to replace traditional no-code platforms, or just live alongside them? —Shubham

Over the last few months I’ve been experimenting with “vibe coding” — using AI + no-code tools to compose software fast.What I’ve realised is: the prompt is the real code. A great prompt = a great build. In my latest experiment, I built a clone of a $34M fitness app using only one well-crafted prompt wasn’t luck — it was a simple framework I’ve been refining for writing prompts that actually work for software composition. In this new video I break down: - The exact formula I use to write high-impact prompts for vibe coding - How to structure a prompt so AI tools give you usable, organised output (not chaos) - A live teardown of the fitness app prompt — why it worked and how you can adapt it to your own builds - Common mistakes people make when prompting for app builds (and how to avoid them) If you’re trying to turn ideas into working software without touching traditional code, learning how to “prompt like a developer” is a game-changer. Would love to hear: what’s the most impressive thing you’ve built with a single prompt? —Shubham