Luca G. Soave ✨ | Full-Stack × AI

🧱 Full-Stack @VodafoneGroup — K8s by day
🤖 Building LLMs & synthetic intelligence by night
🚀 AI systems, tools & indie hacking
🧠 Opinions are my own

[Luca G. Soave ✨ | Full-Stack × AI @lgswitter]

PI cool support

[Luca G. Soave ✨ | Full-Stack × AI @lgswitter]

@AdamAutomates @KaterynaLis It was 1984 really ...

[Luca G. Soave ✨ | Full-Stack × AI @lgswitter]

Claude Code's Leak Reveals Anthropic's Obsession with Cognee https://t.co/7XtiN6zWi7

[Luca G. Soave ✨ | Full-Stack × AI @lgswitter]

@bcherny @wongmjane @BenLesh Honestly @bcherny,

it feels like the strongest argument yet for open‑sourcing it and winning by ecosystem, not secrecy.

A “leak” turning into competitive advantage is a power move. 😇

[Luca G. Soave ✨ | Full-Stack × AI @lgswitter]

@bcherny @wongmjane @BenLesh This might be the most accidental open design review I’ve ever seen 😅

Thousands of engineers reading Claude Code line‑by‑line, debating tradeoffs, suggesting improvements, praising architecture.

That feedback + goodwill is pure gold.

[Luca G. Soave ✨ | Full-Stack × AI @lgswitter]

ranked across key dimensions and sorted by overall score - here’s the output

[Luca G. Soave ✨ | Full-Stack × AI @lgswitter]

asked AI to compare: zig vs golang vs rust vs javascript vs python

this is the response (not telling you which model 👀)

[Luca G. Soave ✨ | Full-Stack × AI @lgswitter]

Probably the sharpest pushback I've seen against the idea that

v̶i̶b̶e̶ ̶c̶o̶d̶i̶n̶g̶ → “agentic engineering”
means coding is basically solved.

Worth watching.

https://t.co/u2y4IPaHWS

Curious what people here think.

[Luca G. Soave ✨ | Full-Stack × AI @lgswitter]

@heyzumi_ @_vmlops What do you mean?

[Luca G. Soave ✨ | Full-Stack × AI @lgswitter]

Is it just me, or are Claude Code updates slowing down?

[Luca G. Soave ✨ | Full-Stack × AI @lgswitter]

@karpathy Security did you say ?

[Luca G. Soave ✨ | Full-Stack × AI @lgswitter]

@karpathy Look at the following ZeroClaw vs OpenClaw repo footprint:

[Luca G. Soave ✨ | Full-Stack × AI @lgswitter]

ZeroClaw is not simply “OpenClaw rewritten in Rust.”

HI still matter over AI slop ... until now

[Luca G. Soave ✨ | Full-Stack × AI @lgswitter]

@SebAaltonen @pmddomingos ChatGPT was originally released by OpenAI on November 30, 2022 (and it was GPT-3)

[Luca G. Soave ✨ | Full-Stack × AI @lgswitter]

@SebAaltonen @pmddomingos Because the real inflection point was GPT-3.5 Turbo’s release in March 2023; prior models never achieved meaningful mainstream adoption.

[Google DeepMind @GoogleDeepMind]

Our breakthrough AI model AlphaGenome is helping scientists understand our DNA, predict the molecular impact of genetic changes, and drive new biological discoveries. 🧬

Find out more in @Nature ↓ https://t.co/rnZCJivxwe

[Luca G. Soave ✨ | Full-Stack × AI @lgswitter]

@shanaka86 Great stuff, but I’ve got a couple of critiques if you want to dig deeper👇

[Luca G. Soave ✨ | Full-Stack × AI @lgswitter]

@statezero @mert Would you share any public code/repo for your skill?

[Luca G. Soave ✨ | Full-Stack × AI @lgswitter]

"[...]We are watching the biggest heist in human history play out in real-time, and most developers are too busy celebrating their "productivity gains" to notice the gun to their head[...]" https://t.co/DSMdoSSouK

[Luca G. Soave ✨ | Full-Stack × AI @lgswitter]

Is this the death of #OpenSource ?

[Marc @MarcJSchmidt]

All my new code will be closed-source from now on. I've contributed millions of lines of carefully written OSS code over the past decade, spent thousands of hours helping other people. If you want to use my libraries (1M+ downloads/month) in the future, you have to pay.

I made good money funneling people through my OSS and being recognized as expert in several fields. This was entirely based on HUMANS knowing and seeing me by USING and INTERACTING with my code. No humans will ever read my docs again when coding agents do it in seconds. Nobody will even know it's me who built it.

Look at Tailwind: 75 million downloads/month, more popular than ever, revenue down 80%, docs traffic down 40%, 75% of engineering team laid off. Someone submitted a PR to add LLM-optimized docs and Wathan had to decline - optimizing for agents accelerates his business's death. He's being asked to build the infrastructure for his own obsolescence.

Two of the most common OSS business models:
- Open Core: Give away the library, sell premium once you reach critical mass (Tailwind UI, Prisma Accelerate, Supabase Cloud...)
- Expertise Moat: Be THE expert in your library - consulting gigs, speaking, higher salary

Tailwind just proved the first one is dying. Agents bypass the documentation funnel. They don't see your premium tier. Every project relying on docs-to-premium conversion will face the same pressure: Prisma, Drizzle, MikroORM, Strapi, and many more.

The core insight: OSS monetization was always about attention. Human eyeballs on your docs, brand, expertise. That attention has literally moved into attention layers. Your docs trained the models that now make visiting you unnecessary. Human attention paid. Artificial attention doesn't.

Some OSS will keep going - wealthy devs doing it for fun or education. That's not a system, that's charity. Most popular OSS runs on economic incentives. Destroy them, they stop playing.

Why go closed-source? When the monetization funnel is broken, you move payment to the only point that still exists: access. OSS gave away access hoping to monetize attention downstream. Agents broke downstream. Closed-source gates access directly.
The final irony: OSS trained the models now killing it. We built our own replacement.

My prediction: a new marketplace emerges, built for agents. Want your agent to use Tailwind? Prisma? Pay per access. Libraries become APIs with meters. The old model: free code -> human attention -> monetization. The new model: pay at the gate or your agent doesn't get in.