Sandro Maglione — Newsletter and articles

It's time for a change in schedule and format.

The skill of writing code will become obsolete eventually, we are getting there faster and faster.

Discussions about code are getting less and less relevant.

Iteration after iteration, the effect-machine API reached a more stable API.

State machines in effect is a question of time.

Welcome to the new era of open source development with AI.

If before writing was the most effective tool to organize ideas, now it has a competitor in AI.

If you write code, you want your API to be clean, concise, and beautiful.

Library development is changing as well with agents.

The new @typeonce/effect-machine library is out, and it brings state machines and state charts into effect.

It wasn't even a year ago when most devs stopped writing the code.

AI model releases and trends seems to be speeding up even more than before.

With AI, you can do more than ever before.

AI, so fast and easy, just prompt and watch.

The new major version of XState (v6) is now out in alpha and ready to be tested.

The new trend in AI coding is called loops.

Writing code used to be a fully offline experience.

AI writes code fast.

AI is writing more and more of your code.

Do you want to maximize your AI output?

I released my first post-AI article this week.

Most frontend bugs are hidden behind confused business logic and race conditions inside components.

Effect is taking over the TypeScript ecosystem, now faster than ever before.

AI codes fast.

I have been without my Mac for 5 days: no coding, no AI, no nothing.

This is the last guide you need to write great code with AI.

IndexedDb in effect is finally here!

Another experiment with AI this week, and this time it went extremely well.

In an attempt of going from requirements to full implementation fast with AI, this week I tried an experiment: all-in AI specs and code.

I have been running full AI-mode on a few projects for a few weeks now.

You probably cannot write code as fast as AI.

From State of React it looks like only 10% of people used XState.

Effect v4 beta is out.

AI gets better, faster, smarter, and more precise.

My AI workflow changed (again): from a single AI running the show, to multiple AIs in parallel.

What's the lever that maximizes each step in your journey to mastery?

How does the path look like from good to better?

With AI, streaming is not optional anymore.

TypeScript API?

Many are introduced to effect for error handling and dependency injection.

If 2025 was not enough, 2026 prospects are even more groundbreaking.

Effect is everywhere in my codebases, full stack, back and front and scripts and whatever.

When should you move fast and work hard, and when should you take a step back and plan?

State management looks easy enough, until it doesn't anymore.

The same guardrails we created for humans when writing code must be applied to AI.

When code is written mostly by AI, how do you stay relevant as a software developer?

I recently deployed a full stack effect app, mostly written by AI, super fast and super type-safe.

Coding with AI is becoming more and more a necessity.

Stop for a moment, just a short one, to understand and appreciate time.

You can reduce all the complexity of working on the client to a few core dependencies: TanStack Router, Effect, XState.