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There's lots of hype around AI - specifically around "AI Agents" (it's the year of AI Agents after all!!!) and "vibe coding".
That's a pity. Because there IS useful stuff behind the hype...

A recent MIT study on the use of ChatGPT and its implications on our brains confirms what most of us already experienced: We're relying too much on AI...

There's a new AI model almost every day. Is that a problem?

At Google I/O 2025 Google, of course, announced LOTS OF AI-related services, projects and initiatives.
It's therefore easy to miss the announcement of Gemma 3n. That would be too bad because it looks pretty interesting and amazing.

I didn't see that coming! After merging Remix with React Router, the future of Remix is ... NOT about React. Okay, maybe it makes sense. But still a bold move!

What a week in AI? Well, okay, I guess every week is "packed with announcements".
But with Google IO, tons of projects and the Claude 4 model releases, there WAS a lot going on. Time to unpack!

There's a lot of hype around LLMs & generative AI - especially when it comes to "AI Agents".
I don't have a super agent (or an army of agents) that does work for me.
But I got a couple of use-cases that really help me get more done!

LLMs often default to a single tech stack (like React, Tailwind, ShadCN). This tendency could reduce competition and innovation in the long run, potentially leading to a development monoculture.

I've slept for too long on open LLMs like Gemma, Llama, Qwen, DeepSeek etc.
They're AMAZING!
Using them is simple (with LM Studio or Ollama) and they're not far behind the "big models" you can access via ChatGPT etc. At least in my experience.
I'm using them for all kinds of tasks...

React Compiler RC (Release Candidate) was released!
Almost one year after its initial release (back then in experimental status), it's now almost ready for production use.
And it can save you LOTS OF time of writing useMemo(), useCallback() and memo()!