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What took an hour to fix with Lovable, I was able to fix in 30 seconds with Cursor. I wonder if it's better to use multiple AIs and use the right one for the right job. Lovable is good for doing things quickly, and Cursor seems like it's good to ask

𝗟𝗼𝘃𝗮𝗯𝗹𝗲 𝗷𝘂𝘀𝘁 𝗵𝗶𝘁 $𝟭𝟬𝟬𝗠 𝗔𝗥𝗥 𝗶𝗻 𝟴 𝗺𝗼𝗻𝘁𝗵𝘀. Faster than Shopify, OpenAI, Slack, Cursor — all of them. And now, they launched their boldest bet yet: 𝗟𝗼𝘃𝗮𝗯𝗹𝗲 𝗔𝗴𝗲𝗻𝘁 — an AI that doesn’t feel like a tool. It feels

Client: "Can you build this small feature? Shouldn’t take more than an hour." The feature: 4 user roles Real-time sync Payment gateway Email workflows Dashboard with analytics Developers don’t hate clients. They hate “shouldn’t take long” foll

⚙️ Rethink Microservices for Startups Microservices sound cool — until your small team is maintaining 10 services, paying 10x infra cost, and debugging API chains across containers. If you’re an early-stage startup: 👉 Keep your core as a monolith

🧩 Front-End First vs Back-to-Front Which One Should You Use on Lovable.dev (and Why Most Beginners Get It Wrong) Before you start building, Lovable.dev gives you two ways to approach your app: Front-End First Back-to-Front Both are valid. But

I’m building an AI-powered dev workspace — not for writing code from scratch, but as a post-deployment tool to help developers after their code is live on GitHub. 🔗 After authenticating with GitHub and selecting a repo, the platform gives you real-

I’m the founder of a software development company that’s delivered 600+ enterprise-grade projects on Liveupx.com. We’ve experimented heavily with AI tools, and here’s my brutally honest take: AI is revolutionary… but it’s NOT a replacement for huma

🚀 *Try this to Accelerate Your Learning* 🔥 *1️⃣ Learn by Doing* Practice > Theory. Build small projects, solve problems, get your hands dirty. *2️⃣ Break It Down* Split complex topics into bite-sized parts. Master the basics before going deep

Had a heated debate with my co-founder Kalpan Shah. I was hyped about tools like Lovable, bolt.new, and Firebase Development Company (Firebase Studio AI). “These are the future,” I told him. “We can build anything with them.” But he pushed back —

I spent the morning testing GPT-5.2. And it surprised me. Not just because it’s more accurate. But because it approaches problems differently. A few early takeaways after a few hours of use: The reasoning feels stronger. When the prompt is messy o