You've done it. You've built your first app using any number of AI coding tools. The foundation is solid, the scaffolding is up, and it actually works. You're buzzing with ideas - 20 new features you want to add, improvements you can see clear as day.

And then you hit the wall.

You ask the AI for one feature. Wait. It builds. You ask for another. Wait. It builds. Sequential chat-based coding suddenly feels like watching paint dry when your brain is moving at 200 miles per hour.

Here's the thing: foundation tools like Lovable and Google AI Studio are absolutely brilliant for getting started. They're perfect for that Phase 1 moment - getting the scaffolding up, proving the concept, seeing your idea come to life. I use them constantly.

But once you've got that foundation in place? Once you're past the "does this work?" stage and into the "let's make this bonkers good" stage? Sequential chat becomes the bottleneck.

Welcome to parallel agents

This is the graduation moment most builders miss.

Instead of waiting for one AI agent to finish before you can request the next change, you fire up 20 agents simultaneously. Each one working on a different feature at the same time. No waiting. No queuing. Just rapid-fire building at what I call "lightning pace."

Watch this in action in this episode of The Vibe PM podcast.


The workflow is dead simple:

  1. Build your foundation in Lovable or AI Studio
  2. Push to GitHub
  3. Pull into Cursor (or Windsurf, or Gravity—any IDE that supports parallel agents)
  4. Fire up multiple agents and watch them all work simultaneously

I'll be honest—the first time you experience this, it feels bonkers. You're typing "Hey, can you build me this feature? Thanks, love you" into one agent, then immediately jumping to another agent asking for something completely different, then another, then another. They're all running at once. They don't trip over each other. The pace of progress becomes fundamentally different.

The proof: Two hours on a plane

I recently built a KPI Driver Tree app in two hours on a flight to Auckland (thank you to Elon Musk’s Starlink). The KPI Driver Tree helps teams map their work to North Star outcomes—addressing that depressing Atlassian stat that only 12% of product managers feel their work connects to board-level dollars.

But here's the important bit: the KPI Driver Tree isn't the point. It's just the example. The proof of what becomes possible when you stop building sequentially and start building with parallel agents.

The app has some genuinely bonkers features: it can critique its own strategy and literally tell you "you're incentivizing a landfill, Dave" when your metrics are misaligned. Brutal, but exactly what you need.

Come vibe with me

If you're curious about what this looks like in practice, I'd love for you to try the KPI Driver Tree app yourself. It's a true working example of parallel agent building, and honestly, the best way to understand this shift is to experience what it produces.

Interested? Drop me a message on LinkedIn, and I'll get you access once I've productionized it. I'm genuinely excited to see what sparks for you when you play with it.

See more episodes of The Vibe PM podcast.