Matteo Collina ✓
@matteocollina · Forlì, Emilia Romagna · joined 25 Aug 2008
@platformatic Co-Founder & CTO, @nodejs TSC Chair, Lead maintainer @fastifyjs, Board @OpenJSF, Conference Speaker, Ph.D. Past: @nearform. Views are my own.
58 046Followers
3 862Following
47 186Posts total
290.4KViews on collected posts
Postingan terbaru
Mencari postingan baru…
@matteocollina @matthewcp Hope you’re joking
21.4K views · 213 likes
· 0 reposts · 1 replies
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@matteocollina Because TypeScript is better for finding mistakes
8.9K views · 147 likes
· 0 reposts · 5 replies
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Given we don’t write code anymore… why are we still dealing with TypeScript and transpilation? Models can write perfect JS in less tokens.
193K views · 1.5K likes
· 36 reposts · 266 replies
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Publishing a large monorepo of interdepent modules has become impossible with the new change on npm: the new scan thing delays every publishing substantially, and it does not recognize a batch.
Maybe one should try doing a staged publishing and then do 15-20 clicks to approve
4.2K views · 17 likes
· 0 reposts · 9 replies
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The HTTP/2 Bugs Hiding in Plain Sight https://t.co/EcZGd8ICML
2K views · 12 likes
· 0 reposts · 1 replies
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The thing I like the most about the Omarchy movement is the whole “giving new life” to devices that suffered from planned obsolescence.
2.1K views · 36 likes
· 1 reposts · 0 replies
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@matteocollina @nodejs Hmm, so basically it always boils down to if a human is in the loop & has checked everything on their own, it's fine to use AI code. I mean that's the essence of AI imho, we use AI to do stuff faster, coz AI cuts corners & critical stuff can break too, if n
676 views · 4 likes
· 0 reposts · 0 replies
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@nodejs What's next?
The @nodejs TSC will vote on disclosure and attribution practices for AI-assisted contributions.
This is how the Node.js community works: when there's disagreement, we deliberate and we vote. That process matters as much as the outcome.
1.3K views · 3 likes
· 0 reposts · 1 replies
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@nodejs The most important role in software development hasn't changed.
It's not the person or tool that writes the code.
It's the person who understands, reviews, and takes responsibility for it.
That's what the DCO was designed to enforce. And it still does.
Full article 👇
2K views · 12 likes
· 0 reposts · 1 replies
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@nodejs OSS projects that learn to accept AI-assisted contributions responsibly ill move faster and attract more contributors.
We need more transparency, human review,s and clear accountability.
Projects that ban AI tools are limiting their contributor pool just as demand is gr
2K views · 3 likes
· 0 reposts · 1 replies
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@nodejs My grandmother made pasta with a "Nonna Papera" - the pasta maker every Italian family had.
No one said it wasn't her pasta.
She chose the flour, eggs, thickness, shape. The tool helped her hands.
I chose the architecture, shaped the API, reviewed every line. The code
1.5K views · 15 likes
· 1 reposts · 1 replies
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@nodejs The real shift AI brings isn't legal - it's operational.
AI moves the bottleneck from writing code to reviewing it.
The human in the loop isn't a limitation. It's the feature.
1.6K views · 11 likes
· 1 reposts · 2 replies
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@nodejs The DCO has never been about how code is written. It's about whether the contributor has the right to submit it - and takes responsibility. This is the same of accepting any Open Source contribution.
We've always depended on the person who signs off.
1.6K views · 8 likes
· 0 reposts · 1 replies
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@nodejs But three independent organizations already answered it:
- The Linux kernel community (who created the DCO)
- Red Hat's legal team
- The OpenJS Foundation (Node.js's own legal body)
All reached the same conclusion: AI doesn't break the DCO. Accountability does.
2.3K views · 13 likes
· 0 reposts · 1 replies
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@nodejs The concern was legitimate: if AI models are trained on code with mixed licenses, can you really certify you have the right to submit the output?
It's a fair question. The DCO exists for a reason.
2.7K views · 8 likes
· 0 reposts · 1 replies
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🧵 I wrote almost 19,000 lines of code for a Virtual File System in @nodejs core using Claude Code. It started over Christmas and has been refined over almost three months of review.
A collaborator challenged whether AI-assisted contributions can meet the DCO requirements. https:
43K views · 150 likes
· 12 reposts · 13 replies
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Dibandingkan akun berukuran sama
6 postingan dari 90 hari terakhir, dibandingkan dengan rentang 10K–100K pengikut. tampil luas, tetapi sedikit penonton yang merespons.
Median tayangan6 552akun ini987median untuk 10K–100K
Jangkauan, %11.29%akun ini3.79%median untuk 10K–100K
Interaksi, %0.97%akun ini1.52%median untuk 10K–100K
| Metrik | Akun ini | Median untuk 10K–100K | Rasio |
|---|---|---|---|
| Median tayangan per postingan | 6 552 | 987 | 6.64× |
| Jangkauan (tayangan ÷ pengikut) | 11.29% | 3.79% | 2.98× |
| Tingkat interaksi | 0.97% | 1.52% | 0.64× |
Akun lain pada rentang ini → Bandingkan dengan akun lain → Bagaimana tolok ukur ini disusun →
Growth & engagement
How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.
Views per post
2.3K18 Mar
1.6K
1.6K
1.5K
2K
2K
1.3K
676
2.1K8 Sep
2K9 Sep
4.2K
193K10 Sep
8.9K
21.4K
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.60%18 Mar
0.56%
0.88%
1.11%
0.20%
0.66%
0.31%
0.59%
1.73%8 Sep
0.65%9 Sep
0.61%
0.94%10 Sep
1.71%
1.00%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.
What the audience does
Likes77.9%2 157 in total
Reposts1.8%51 in total
Replies11.0%304 in total
Bookmarks9.3%257 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.
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