What I learned today:

The moat isn't code anymore. Traditional vendors spent yrs building detection engines. I built in an afternoon.

The new moat is:

Deep problem understanding
Iteration
Distribution

If you're building defensibility around "engineering complexity," you're building on sand.

Theoretical economics:

Development cost: $0 (Claude/Gem + 6 hours)
Infrastructure cost: $0 (runs on user's machine)
Distribution cost: $0 (GitHub + word of mouth)
First dollar of revenue: 100% margin

This model: First sale is pure profit.

The entire cost structure of software just collapsed.

Time to implement core features:

2020: 2 weeks
2024: 2 days
2026: 2 hours

Here's the thing - the quality didn't decrease. It increased.

Automated testing, error handling, performance optimization - all built same-day. The bottleneck shifted from "can we build it" to "do we know what to build."

I built a security product today in 6 hours that would have taken a team of 3 engineers 6 weeks in 2020.

The compounding effect of AI coding assistants isn't linear. It's exponential in the hands of someone who knows what to build.

We’re witnessing a massive re-weighting of the software value chain. Antigravity commoditizes the implementation layer, pushing human value into the strategy and verification layer. If an agent executes 80% of a feature, the dev’s role becomes 100% focused on the 20% requiring nuanced judgment.

Most AI IDEs feel like high-stakes texting. Antigravity’s "Artifacts"—walkthroughs and browser recordings—solve the trust gap in autonomous dev. It’s not just about the agent doing the work; it’s providing verifiable evidence at task-level abstraction. That's the real unlock for scaling throughput.

The Antigravity Agent Manager is a fundamental UI shift. We’re moving from the microscopic toil of syntax to the macroscopic orchestration of intent. When you spawn agents to handle a refactor and test suite in parallel, the bottleneck is no longer typing—it’s the clarity of your architecture.

The real value now lives in the abstraction layer above implementation. Devs thrive there for coding workflows—AI acceleration clicks instantly. Marketers are wired for creative abstraction; tools like Midjourney serve as greater unlock on that side of the value chain.

Instead of one overtaking the other, the real insight lies in how they connect. Webflow’s React dev-link highlights the emerging middle ground, where simple marketing workflows & developer-driven customization coexist. It’s less about replacement, more about nuanced integration that fits team needs.

Vibe coding got me reflecting on no-code’s place in today's landscape—and how that relationship is evolving. No-code platforms like Webflow give marketers independence and speed, while AI-accelerated development redefines what engineers can build quickly.

Vibe coding is wildly addicting. Traditional workflows now seem slow, brittle, and weirdly manual by comparison. This kind of human-AI pairing feels like a genuine step-change in software development efficiency, especially on the front end where iteration speed matters most.