Marcelo Delnero

I like building software. 20+ years in, still curious, still creating.

[Chester @chesterzelaya]

I think about this a lot

[Tim Ferriss @tferriss]

“The problem is no longer getting people to express themselves but providing little gaps of solitude and silence in which they might eventually find something to say. … What a relief to have nothing to say, the right to say nothing, because only then is there a chance of framing … the thing that might be worth saying.”​ — Gilles Deleuze

[Mambo Italiano @mamboitaliano__]

While we wait for the epic Spain-Argentina FIFA World Cup final to kick off 🏆⚽️

Let’s enjoy some vintage magic from the legendary Diego Armando Maradona!

[el hombre pulpo @coproduto]

Esses dias uma amiga me lembrou que Spoleto ainda existe e segue servindo gororobas de macarrão

Eu acho o Spoleto fascinante pq é uma rede de fast food totalmente construída sobre o conceito de parecer o suficiente com o conceito que gente que não entende nada de comida italiana tem sobre comida italiana pra ninguém se perguntar se aquilo tem algo a ver com comida italiana

É a imagem de IA dos fast foods, o pesadelo macarrônico do Baudrillard, o significante sem nenhuma conexão com seu significado

[SenhorZiborro @SenhorZiborro]

Best livro ever kkkkkkkkkk

[devCansado @devcansado404]

agente resolveu otimizar uma query hj q tava lenta faz uns 3 anos.
prod caiu na hora.

a lerdeza era a unica coisa q impedia o banco de dar deadlock pesado nos serviço legado. o bug era o load balancer natural q segurava o cnpj da empresa em pé.

[luthira @luthiraabeykoon]

We implemented @karpathy 's MicroGPT fully on FPGA fabric.

No GPU.
No PyTorch.
No CPU inference loop.

Just a transformer burned into hardware, generating 50,000+ tokens/sec.

The model is small, but the idea is not: inference does not have to live only in software 👇

[Athenaeum Book Club @athenaeumbc]

Did you know C.S. Lewis predicted the modern obsession with “being nice” would destroy the soul?

In The Abolition of Man, Lewis argues that when a society stops believing in objective virtue, it doesn’t become tolerant… it becomes manipulable.

He calls the result “men without chests.”

People with appetites and intellects, but no courage, no honor, no trained moral instincts. They can calculate everything and defend nothing.

Lewis saw that once we reject inherited moral law, we don’t become free. We become raw material… easily shaped by propaganda, pleasure, and fear.

Modern man prides himself on compassion while quietly surrendering every standard that once gave compassion meaning.

Lewis’s insight is brutal: a civilization that educates clever cowards will eventually be ruled by tyrants or technicians.

Because when nothing is worth dying for, everything becomes negotiable… including human dignity.

[fried @FriedHardt]

olhando agora, depois de tudo já ter acontecido, é fácil dizer que isso aqui era um golpe

mas se olhasse na época, com a informação que tinha no momento, também era fácil dizer que era golpe

[@levelsio @levelsio]

There has to be some word for this concept

It's why designers from tech who design touchscreens like Jony Ive won't put a touch screen in a car but use real knobs

Or why programmers don't actually like smart homes and smart appliances at all but want things analog

Or why tech people raise their kids without mobile devices

Like knowing things so well from inside of it (tech) that you choose to NOT use it because you know the negatives that come with it in specific contexts

[GREG ISENBERG @gregisenberg]

ai is going to massively increase the number of one person companies within the next ~10 years

- 1 one person $10b company
- 10 one person $1b companies
- 100 one person $100m companies
- 1,000 one person $10m companies
- 10,000 one person $1m companies

[Marcelo Delnero @mdelnero]

@EduardoHFonseca @ivanildoiii Aqui em São Paulo tem sido cada vez mais comum. Simplesmente destruir a instalação do concorrente.

[Andrej Karpathy @karpathy]

A few random notes from claude coding quite a bit last few weeks.

Coding workflow. Given the latest lift in LLM coding capability, like many others I rapidly went from about 80% manual+autocomplete coding and 20% agents in November to 80% agent coding and 20% edits+touchups in December. i.e. I really am mostly programming in English now, a bit sheepishly telling the LLM what code to write... in words. It hurts the ego a bit but the power to operate over software in large "code actions" is just too net useful, especially once you adapt to it, configure it, learn to use it, and wrap your head around what it can and cannot do. This is easily the biggest change to my basic coding workflow in ~2 decades of programming and it happened over the course of a few weeks. I'd expect something similar to be happening to well into double digit percent of engineers out there, while the awareness of it in the general population feels well into low single digit percent.

IDEs/agent swarms/fallability. Both the "no need for IDE anymore" hype and the "agent swarm" hype is imo too much for right now. The models definitely still make mistakes and if you have any code you actually care about I would watch them like a hawk, in a nice large IDE on the side. The mistakes have changed a lot - they are not simple syntax errors anymore, they are subtle conceptual errors that a slightly sloppy, hasty junior dev might do. The most common category is that the models make wrong assumptions on your behalf and just run along with them without checking. They also don't manage their confusion, they don't seek clarifications, they don't surface inconsistencies, they don't present tradeoffs, they don't push back when they should, and they are still a little too sycophantic. Things get better in plan mode, but there is some need for a lightweight inline plan mode. They also really like to overcomplicate code and APIs, they bloat abstractions, they don't clean up dead code after themselves, etc. They will implement an inefficient, bloated, brittle construction over 1000 lines of code and it's up to you to be like "umm couldn't you just do this instead?" and they will be like "of course!" and immediately cut it down to 100 lines. They still sometimes change/remove comments and code they don't like or don't sufficiently understand as side effects, even if it is orthogonal to the task at hand. All of this happens despite a few simple attempts to fix it via instructions in CLAUDE . md. Despite all these issues, it is still a net huge improvement and it's very difficult to imagine going back to manual coding. TLDR everyone has their developing flow, my current is a small few CC sessions on the left in ghostty windows/tabs and an IDE on the right for viewing the code + manual edits.

Tenacity. It's so interesting to watch an agent relentlessly work at something. They never get tired, they never get demoralized, they just keep going and trying things where a person would have given up long ago to fight another day. It's a "feel the AGI" moment to watch it struggle with something for a long time just to come out victorious 30 minutes later. You realize that stamina is a core bottleneck to work and that with LLMs in hand it has been dramatically increased.

Speedups. It's not clear how to measure the "speedup" of LLM assistance. Certainly I feel net way faster at what I was going to do, but the main effect is that I do a lot more than I was going to do because 1) I can code up all kinds of things that just wouldn't have been worth coding before and 2) I can approach code that I couldn't work on before because of knowledge/skill issue. So certainly it's speedup, but it's possibly a lot more an expansion.

Leverage. LLMs are exceptionally good at looping until they meet specific goals and this is where most of the "feel the AGI" magic is to be found. Don't tell it what to do, give it success criteria and watch it go. Get it to write tests first and then pass them. Put it in the loop with a browser MCP. Write the naive algorithm that is very likely correct first, then ask it to optimize it while preserving correctness. Change your approach from imperative to declarative to get the agents looping longer and gain leverage.

Fun. I didn't anticipate that with agents programming feels *more* fun because a lot of the fill in the blanks drudgery is removed and what remains is the creative part. I also feel less blocked/stuck (which is not fun) and I experience a lot more courage because there's almost always a way to work hand in hand with it to make some positive progress. I have seen the opposite sentiment from other people too; LLM coding will split up engineers based on those who primarily liked coding and those who primarily liked building.

Atrophy. I've already noticed that I am slowly starting to atrophy my ability to write code manually. Generation (writing code) and discrimination (reading code) are different capabilities in the brain. Largely due to all the little mostly syntactic details involved in programming, you can review code just fine even if you struggle to write it.

Slopacolypse. I am bracing for 2026 as the year of the slopacolypse across all of github, substack, arxiv, X/instagram, and generally all digital media. We're also going to see a lot more AI hype productivity theater (is that even possible?), on the side of actual, real improvements.

Questions. A few of the questions on my mind:
- What happens to the "10X engineer" - the ratio of productivity between the mean and the max engineer? It's quite possible that this grows *a lot*.
- Armed with LLMs, do generalists increasingly outperform specialists? LLMs are a lot better at fill in the blanks (the micro) than grand strategy (the macro).
- What does LLM coding feel like in the future? Is it like playing StarCraft? Playing Factorio? Playing music?
- How much of society is bottlenecked by digital knowledge work?

TLDR Where does this leave us? LLM agent capabilities (Claude & Codex especially) have crossed some kind of threshold of coherence around December 2025 and caused a phase shift in software engineering and closely related. The intelligence part suddenly feels quite a bit ahead of all the rest of it - integrations (tools, knowledge), the necessity for new organizational workflows, processes, diffusion more generally. 2026 is going to be a high energy year as the industry metabolizes the new capability.

[Boris Cherny @bcherny]

I'm Boris and I created Claude Code. Lots of people have asked how I use Claude Code, so I wanted to show off my setup a bit.

My setup might be surprisingly vanilla! Claude Code works great out of the box, so I personally don't customize it much. There is no one correct way to use Claude Code: we intentionally build it in a way that you can use it, customize it, and hack it however you like. Each person on the Claude Code team uses it very differently.

So, here goes.

[Matt Montenegro @eusouomatt]

Se você tem uma startup, guarde minhas palavras: Abra uma LLC nos EUA, plugue Stripe US, rode tudo de lá (tente isso via Stripe Atlas). Mais, mantenha sua operação inteira fora do Brasil. Mídia paga? Roda de lá pra cá. Esqueça o Brasil, foca em fazer algo global e FORA daqui.

[Jim Ferguson @JimFergusonUK]

🔥 Elon Musk just summed up modern slavery in one sentence:

“You work. You get taxed. You buy something. You get taxed. You own something. You get taxed again.”

It’s the loop of quiet control — a system designed to keep you compliant while the government spends your money on causes you never consented to.

Every paycheck, every purchase, every property — siphoned through layers of bureaucracy.

And what’s left? A fraction of what you earned, traded for a false sense of freedom.

Musk’s point cuts deep:
The problem isn’t just taxation — it’s how it’s weaponized.

To fund endless wars.
To bankroll wasteful projects.
To grow a government that lives off your labor while pretending to “serve” you.

It’s not public service anymore.
It’s public extraction.

Time to break the loop.

[Sibelius Seraphini @sseraphini]

Uma das melhores coisas de trabalhar me Startups é trabalhar com pessoas que se importam

[Ray Dalio @RayDalio]

History shows us that having too much debt during an economic downturn leads to a classic, self-reinforcing cycle where:

1) The empire can no longer borrow the money to repay its debts
2) It prints a lot of new money, which devalues the currency and raises inflation
3) Living standards decline, leading to the rise of political extremism
4) Turbulent economic conditions undermine productivity and there is conflict about how to divide the shrinking resources
5) Populist leaders emerge pledging to take control and bring about order

[Marcelo Delnero @mdelnero]

When you write code to solve problems, leave appropriate comments.

[Lorenzo @lorenzolfm]

Comentários no código tem uma simples função:

Escrever piada interna na code base da empresa.

Qualquer outra função vc tá usando errado.