THIS WEEK’S STORY

The Solo Founder Era Has Arrived

Two years ago, being a solo founder came with hard limits.

👉 If you wanted to build anything real, you needed a co-founder who could code.
👉 Or you outsourced development at $150 per hour and prayed the scope didn’t explode.
👉 Or you watched teams of 10+ people ship faster simply because they had more hands.

Speed was a team sport and leverage was expensive.

Fast forward to 2026 and the picture looks completely different: solo founders now wake up with an unfair advantage.

👉 Claude Code handles day-to-day implementation like a tireless senior engineer.
👉 Codex one-shots entire blocks of business logic that used to take weeks.
👉 Gemini spins up beautiful, usable designs without a design team.

And the result is wild.

One person with one laptop shipping products that go head-to-head with funded startups.

I don’t care what anyone says; the game has completely changed.

The bottleneck is no longer “can this be built?”. It’s taste, judgment, and direction.

👉 Knowing what’s worth building.
👉 Knowing which problems deserve your time.
👉 Knowing what users will actually care about enough to pay for.

In a world where execution is becoming cheaper and faster, clarity becomes the real edge. Clear design idea, clear taste, clear architecture, clear trajectory…

And that’s the opportunity most people are still missing.

Btw if you wanna learn how to build with AI as a non-dev click here to join the waiting list

HEADLINES

Anthropic launches Claude Cowork

If you’re not using this for your daily work yet, you’re already falling behind.

Claude Cowork takes agentic AI beyond coding and out of the terminal, letting anyone delegate real, non-coding tasks directly from a desktop app and browser—things like research, reviews, audits, and structured thinking.

This isn’t a small iteration. It’s a major step toward AI as a true work partner.

THIS WEEK’S TIP

Cursor Now Knows the Best Practices for You

One of the biggest problems for non-technical builders using AI has never been writing code.

It’s knowing whether the code is good.

Does it have a good structure, pattern, and long-term decision?

But now that gap just got a lot smaller.

Vercel quietly released something big: a Cursor-compatible “skill” that feeds React and Next.js best practices directly into your AI agent.

In plain English: you no longer need to tell the agent how to structure your app, the agent already knows.

Instead of prompting things like:

  • “Use proper folder structure”

  • “Follow React conventions”

  • “Apply Next.js best practices”

Those rules are now embedded into the agent’s context by default.

This means:

  • Cleaner project architecture

  • More consistent patterns across files

  • Fewer beginner mistakes that show up later in production

And most importantly; it lowers the cognitive load for non-technical builders.

You can focus on:

  • What the app should do

  • How users move through it

  • What actually creates value

While the agent handles the invisible quality layer.

The workflow is simple:

  1. Install the skill inside Cursor

  2. Build normally using your favorite agent

  3. Let the agent enforce best practices automatically for React and Next.js

Now you can build with something less to worry about 😉

QUICK HITS

  • Generative coding is named a top 2026 breakthrough, as tools like Copilot, Cursor, Lovable, and Replit let non-coders build apps by prompting, while Big Tech says AI now writes 25–30% of its code.

  • Anthropic lands its first major 2026 enterprise deal with insurance giant Allianz, providing Claude models for internal use, building custom agents, and integrating code capabilities to boost productivity across operations

  • Nvidia debuts Alpamayo open AI models at CES for autonomous vehicles and robots, enabling "human-like" reasoning in complex scenarios

  • OpenAI invested in Merge Labs and partnered with Cerebras and SB Energy, strengthening the U.S. AI supply chain, compute, and energy infrastructure for scaling agentic models.

  • 2026 forecasts point to pragmatic AI adoption, with agentic workflows in production, cooperative model routing, world models, and edge/on-device generation driving real ROI.

PS: I’m working on practical guides and a small live cohort to help non-developers actually ship real apps with AI (not just learn theory).

I’ll be opening this to a small group first,
join the waitlist here → https://tally.so/r/gDeLrM

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Filippo