I want to talk about how I built @MCPCore - a cloud platform where developers create, deploy, and manage MCP servers from their browser - and what 10+ years of backend experience taught me about using AI in production work. Not the hype version. The honest one.

Every idea is already taken. So what?

I'm a backend engineer. I've spent most of my career building server-side systems, and I currently lead a backend team at my company. At some point I wanted to build something of my own. A product. Something real.

Over the last 4 years I have spoken to hundreds of companies.

Here is what I learned:

We're enhancing Rankfender's Content Generation Engine (RCGE) and v2.2 is coming in the next few weeks. Before we lock things in, we want to know what actually matters to people who use content generation tools.

Here's what RCGE already does:

• Intelligence. It analyzes the top 10 ranking articles for any keyword and identifies patterns. What structure do they use? What headers? What formatting? What makes them get cited by AI? Then it builds a brief based on what actually works, not guesswork.

• Structure control. You can add, remove, and reorganize H2s before generation. No fixed templates. You decide the flow.

• Inline images. Generated articles include images, not just text walls.

• Regeneration. Mess up one paragraph? Regenerate just that part. Not the whole article.

What we're adding in v2.2: