I use AI every day. It writes boilerplate, drafts tests, explains unfamiliar code and gets me to a working first version faster than ever.
But AI doesn't know your business. It doesn't know which feature your users will actually pay for, which shortcut will hurt you once you have real traffic, or which edge case will take down checkout on a Friday night.
That part is still judgment:
→ What to build, and what to cut
→ How the data is structured, before real users fill it
→ What happens when something fails
→ Whether it's actually ready to ship today
AI made writing code cheap. It didn't make good decisions cheap. That's what you're really paying for when you hire a developer.
Built something with AI and not sure it's ready for real users? Book a free build audit: calendly.com/roshaanali-business
🤔 Why choose between building visually and coding with AI when you can use BOTH? 😂
There are two interesting ways to build apps with AI:
🎨 Lovable: Prompt your idea, watch the app come to life, and refine it visually.
💻 AI coding tools: Describe the changes you need and let AI work directly with your code.
Here's where things get interesting: You can start with Lovable, sync your project with GitHub, and continue development using tools like Cursor or Claude Code. 🚀
One helps you bring the idea to life visually. The other gives you more flexibility to work directly with the code.
💬 Developers, do you prefer seeing your app come together visually, or letting AI work directly in your codebase? Or do you combine both? 👇