Understanding Synthetic Leverage

A year ago, I hadn't written code in 25 years.

Today, I'm shipping software faster than I ever did when coding was my full-time job as a technical co-founder.

Looking back on 2025, I keep returning to one moment: a transatlantic flight where my Claude Code swarm built what would have taken a team 18 developer-days in 6 hours.

That flight forced me to confront something I'd been circling for months: I wasn't coding anymore. I was conducting.

The shift sounds semantic. It isn't.

Coding means writing every line. Conducting means orchestrating agents who plan, build, test, review, and deploy—often going beyond what you explicitly asked for. I've watched them debate approaches among themselves. Implement performance optimizations I hadn't considered. Even leave judgmental comments about code they found elsewhere that "could use improvement."

This is the concept of synthetic leverage that I have been exploring all year. The ability to multiply output without multiplying people.

But here's what took me longer to learn: synthetic leverage requires trust.

We're not quite ready to let agents write all the code, even though they are getting better and better... moving from raw interns to more seasoned developers.

It's because of this that I am now treating agents more as teammates. And the same principles I used to manage human teams apply. Clear context upfront—vision docs, architecture specs, EPICS, etc. Delegation with guardrails, not micromanagement. Regular audits to understand not just what they built, but why. And feedback loops that make the next sprint better than the last.

The agents who've absorbed my coding philosophy through documentation? They make better decisions and gain more autonomy.

The implications are profound:

For founders: A single person can now build and ship rich prototypes in weeks. The barriers to entry have collapsed.

For CEOs with large dev teams: The modern moat is a unique understanding of a problem domain and unmatched execution velocity. You don't get that from just adding more humans.

I've spent my career leading companies from $5M to $500M in ARR, at times, leading thousands of employees. I thought I understood leverage. I didn't. Not like this.

The uncomfortable truth? This isn't about the tools. It's about letting go. Letting agents review each other's work. Letting swarms find solutions you'd never consider. Trusting workflows to enforce standards you might skip.

After a year of building this way, I'm convinced we're witnessing a fundamental shift in how software gets made—and who gets to make it.

The question isn't whether AI will reshape your business. It's about whether you're ready to lead that AI-powered transformational change.

Thanks to the thrilling experience of building again, I know I am back solidly in founder mode ... so stay tuned for an exciting 2026 ... new things are coming!

Carpe Agentem. 🎼

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