Master the AI Stack and Build Without the Noise

THIS WEEK’S STORY

The Hidden Danger of Moving Too Fast

Every week, there’s a new AI tool.
A new update.
A new "must-try" platform that promises to change everything.

It’s exciting.
But it’s also overwhelming if you’re trying to actually build something.

The truth is: we’re living in a time where the speed of AI innovation is both a massive opportunity — and a real challenge.
It’s easier than ever to launch apps, automate work, or create businesses with a team of one.
But it’s also easier than ever to fall into the trap of chasing every new shiny thing.

Here’s my honest recommendation after living deep in this world:
Pick a stack of tools you trust — and stick to it until you master it.

For example, I personally use:

• Cursor (coding AI)

• Lovable (landing page builder)

• v0 (UI generation)

• Icon Ads (ad creative generation)

That’s my home base.
Of course, I’ll test new tools when they pop up. But I don't blow up my workflow every time there's a new headline.
Mastery beats constant switching.

If you change your process every week, you never give yourself the space to actually get great.
Focus first. Adjust slowly.
That's how you build something real in this new AI era.

HEADLINES

1) AI Is Now Writing Over 30% of the Code at Microsoft and Google

The shift is happening fast.

Both Microsoft and Google recently revealed that AI now generates over 30% of all new code across their projects (and at Meta, Zuckerberg said AI could soon be handling half of their model development.)

At Microsoft, AI writes between 20% and 30% of code depending on the language, and it is already helping with code reviews too.

At Google, Sundar Pichai confirmed that AI is now responsible for more than 30% of new code, up from 25% just a few months ago.

The takeaway?

This is no longer experimental. AI coding is becoming the new normal.

If you are building with AI today, you are not early.

You are right on time. Focus, execute, and stay sharp.

2) HeyGen Just Dropped Voice Mirroring and It’s Wild

HeyGen has just released Voice Mirroring, a feature that allows your AI avatar to replicate your tone and style with remarkable accuracy.

This advancement enables the creation of multilingual videos where your avatar speaks in different languages, maintaining your unique voice and personality. ​

This tool is a game-changer for marketers, educators, and creators aiming to reach global audiences without compromising authenticity.

See here:

THIS WEEK’S TIP

The Best AI Models to Use Today for Building and Research

Not all AI models are made equal — and after weeks of hands-on testing inside Cursor and on different single-purpose AI tools, here’s what’s clearly performing best right now:

• Sonnet 3.7 → Best for coding iOS apps. Super reliable inside Cursor for Swift and SwiftUI tasks. Bonus: it's also excellent for writing natural-sounding blogs and copy that feel clean and human.

• Gemini 2.5 Pro → My top pick for web app development. It handles structure, UI, and multi-step logic really well, especially when you're working with React, Next.js, or similar frameworks.

• o3-mini GPT + Perplexity Sonar Deep Research → The winning combo for deep research. They dig up reliable information, structure long analyses, and are much better at sourcing than most models.

In short: if you’re building, writing, or researching today, these are the ones that can actually keep up with you.

Bonus Tool of the Week:

If you’re prototyping iOS apps, Play is a total game-changer.

It’s like Figma — but made specifically for app building:
✅ Design beautiful, functional iOS screens
✅ Prototype real interactions (buttons, forms, gestures)
✅ Export Swift code ready to drop straight into Xcode

Perfect if you want to move fast from "idea" to "real app" — without getting stuck on the technical details too early.

QUICK HITS

• Claude 3.7 Sonnet Sets Coding Record: Hits 70.3% on SWE-bench, beating OpenAI models with advanced reasoning and debugging.

• Vibe Coding Boosts Productivity: AI-driven "goal-based" coding makes devs 81% more productive and workflows 55% faster.

• Agentic AI Expands in DevOps: Autonomous AI agents now build apps, manage tickets, and integrate with tools like Elastic and Stripe.

• AI Code Generators Deepen IDE Integration: Real-time suggestions, error detection, and natural language coding now embedded in IDEs.

• Security Risks Rise with AI Code: 20% of AI-generated code references fake packages, raising new malware threats.

And That is all for this week!

See you next Saturday!

Filippo

Filippo Pietrantonio

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