This is incredible.

Google is getting dead serious about dev tooling -- their new Firebase Studio is going to be absolutely insane for the future of software development.

A brand new IDE packed with incredible and free AI coding features to build full-stack apps faster than ever before.

Look at how it was intelligently prototyping my AI app with lightning speed -- simply stunning.

AI is literally everywhere in Firebase Studio -- right from the very start of even creating your project.

And it looks like they're going with light theme this time.

Before even opening any project Gemini is there to instantly scaffold whatever you have in mind.

Firebase Studio uses Gemini 2.5 Flash -- the thinking model that's been seriously challenging Claude and Grok for some months now.

For free.

And you can choose among their most recent models — but only Gemini (sorry).

Although looks like there could be a workaround with the Custom model ID stuff.

For project creation there’s still dozens of templates to choose from — including no template at all.

Everything runs on the cloud in Firebase Studio.

No more wasting time setting up anything locally — build and preview and deploy right from your IDE.

Open up a project and loading happens instantly.

Because all the processing is no longer happening in a weak…

🧪 Validation is a search for truth, not a confirmation of your hunch

Most people validate their SaaS idea with one goal: to prove themselves right.

But that’s the wrong mindset.

The point of validation isn’t to be correct — it’s to learn what’s real.

To uncover what users actually want, not what you hope they want. And the faster you run small, testable experiments, the sooner you’ll hit real traction (or pivot to something better).

The process isn’t glamorous. It often feels like backtracking. But in reality, it’s the fastest route forward.

This insight is part of the new lesson just published in our community for coding with AI and building profitable SaaS ventures: “The Lean Startup Approach to Validation” (Module 3, Lesson 1).

It walks through how to test assumptions the right way — with clear hypotheses, fast feedback loops, and metrics that actually mean something.

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