Prática de Shadowing: Did Anthropic Kill Git? - Aprenda a falar inglês com vídeo

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Did Anthropic kill Git?
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This week, a lot of people on X decided it did.
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One post with over 600 ,000 views says Anthropic has replaced Git internally and the titans are falling.
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Another says this is much bigger than it looks.
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It all traces back to one post from Anthropic's own account, seen more than 6 .5 million times.
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Part of the story is true.
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Anthropic did stop using Git, but only for its own code, inside its own company.
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Git itself is fine.
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Anthropic keeps almost all of its code in one giant repository, a monorepo.
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In May, about 2 ,500 changes were merged into it every day.
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By September, it was over 30 ,000 a day.
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On September 9th alone, 30 ,401 changes went in.
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Their chart even has a dip in late July labeled the quiet week, and right after it, the line goes almost straight up.
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Claude writes a lot of that code, and Anthropic says every bottleneck they remove leads to even more of it.
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At that rate, the repository got heavy.
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The history of the main branch alone is almost 100 gigabytes.
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Their CI system checks out the code about 25 million times a day before you count developers, agent sandboxes, and research jobs.
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Anthropic did the maths.
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If every one of those checkouts fetched the repo the normal way, that would be over 600 petabytes of Git traffic every day.
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Git was designed for a different kind of user.
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Every clone is a full copy of the repository with all of its history, and it can do almost everything offline.
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That's great for a person on a laptop on a plane.
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At Anthropic, almost every client is an agent or a CI job, and those are always online.
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They tried the usual fixes first, like shallow clones and sparse checkouts.
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At the peak, they were running several hundred internal Git mirrors just to keep up.
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So they built their own.
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It's called Scion, and it moves the work from your machine to the server.
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Commits, merges, rebases, blame, and history all happen on the server so there's nothing to push.
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The client keeps a small cache and only downloads the files it actually reads.
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A CI job that needs a diff can ask the server for it and never check out the code at all.
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Between the client and the server sit two layers of caches, one on every machine and one in every region.
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And each layer answers over 99 % of requests by itself.
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Anthropic says it borrowed ideas from Google's Piper and Meta's Sapling, which were built for huge human teams.
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On a developer machine, Git status took almost four seconds, and Scion does it in 19 milliseconds.
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For agents, setting up a fresh work tree went from seven minutes to five seconds.
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The whole system uses about 200 times less CPU and memory than the old mirrors, and CI got a quarter of its CPU back.
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These are Anthropic's own measurements, and nobody outside the company has checked them yet seven people built it.
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In five months, they made Scion, a code review tool called Antique, and a few other systems,
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and they moved the whole monorepo over while the merge rate went up 10 times.
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Claude wrote a lot of that code too.
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The team had handwritten a pipeline to import the old Git history,
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and an early version of Claude Mythos rewrote it to use 20 times less memory and run four times faster.
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Every engineer on the project now rates Claude as better at writing code than they are.
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They also say a big part of their job became telling Claude no
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when it took shortcuts or piled on checks nobody needed.
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On Hacker News, the thread passed 800 points and 900 comments in a day.
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The most replied comment says that every time the writer stops reviewing Claude's code, they later find janky crap.
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Others said a central server you always have to reach sounds a lot like subversion or perforce.
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The older systems get replaced.
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One person asked why Anthropic didn't just split up the monorepo.
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On X, Dex Horthy pointed at the trade -off most people will feel.
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Today, if GitHub is down, you can still commit on your laptop.
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With Scion, if the server is down, you can't.
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So did Anthropic kill Git?
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No. In their own words, Scion is by no means a suitable replacement for Git for general use.
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They say it only makes sense for truly enormous repos, with tens of thousands of engineers or swarms of agents.
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It isn't open source and they don't plan to release it.
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Your repos on GitHub don't change, and Claude code still works with plain Git.
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A small team has already posted an unofficial open source version, but Anthropic has nothing to do with it.
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What Anthropic wants is for Git to pick up some of these ideas,
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like servers that do more of the work and answer questions about history through an API.
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They say they want to build that with GitHub, GitLab, and the open source community,
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and they expect other companies using AI coding tools to hit the same wall within a year.
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If that happens, the changes will most likely land on the server side,
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and the Git on your laptop will keep working the way it does today.

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Vocabulário e dicas de fala para esta lição

Esta aula de conversação usa o vídeo “Did Anthropic Kill Git?”. As palavras que mais se repetem: Git, Anthropic, code, server, Claude. Este vídeo tem 65 frases e 881 palavras para praticar shadowing. A fala dura 4:49. O falante fala rápido, cerca de 183 palavras por minuto, então espere sons ligados e reduzidos. Apenas 79% das palavras estão entre as 3.000 mais comuns do inglês, por isso o vocabulário é exigente.

Vocabulário principal deste vídeo

15 palavras do vídeo que vale a pena aprender, com pronúncia e significado:

PalavraPronúnciaSignificado
server substantivo/ˈsɝvɚ/servidor, server
laptop substantivo/ˈlæp.tɑp/computador portátil, portátil
merge verbo/mɝd͡ʒ/unir, convergir
mirror substantivo/ˈmiɹɚ/espelho
layer substantivo/ˈleɪ̯ɚ/camada
developer substantivo/dɪˈvɛləpɚ/desenvolvedor, desenvolvedora
clone substantivo/kloʊn/clone
checkout substantivo/ˈt͡ʃɛkˌaʊt/caixa
cache substantivo/kæʃ/esconderijo
chart substantivo/t͡ʃɑɹt/carta náutica
replacement substantivo/ɹɪˈpleɪsmənt/substituto
thread substantivo/ˈθɹɛd/fio, linha
label substantivo/ˈleɪ.bəl/etiqueta, rótulo
plain substantivo/pleɪn/planície
suitable adjetivo[ˈsjuː.tə.bɫ̩]apropriado, favorável

Phrasal verbs que você vai ouvir

PalavraPronúnciaSignificado
check out verboverificar, sacar só
go up verbosubir
keep up verbomanter
pick up verbopegar
set up verbo/ˌsɛt ˈʌp/preparar

Gramática neste vídeo

As estruturas que o falante mais usa, com as palavras exatas do vídeo:

EstruturaNo vídeo
Present perfect have/has + particípio passado — uma ação passada que ainda importa agorahas replaced · has checked · has already posted
Voz passiva be + particípio passado — o foco está no que acontece, não em quem fazwere merged · was designed · were built

Pronúncia para ficar de olho

O falante usa 5 contrações e formas reduzidas, como don't, can't, didn't. Diga-as na forma curta, do jeito que você ouve.

  • Os sons de “th”: thread /ˈθɹɛd/, mathematics /mæθ(.ə)ˈmæt.ɪks/
  • Os sons de “sh” e “zh”: cache /kæʃ/, measurement /ˈmɛʒ.ə.mənt/, shallow /ˈʃæloʊ/, unofficial /ʌn.əˈfɪʃ.əl/, shortcut /ˈʃɔːtkʌt/
  • Palavras longas — acerte a sílaba tônica: developer /dɪˈvɛləpɚ/, mathematics /mæθ(.ə)ˈmæt.ɪks/, internally /ɪnˈtɜːnəli/, unofficial /ʌn.əˈfɪʃ.əl/, repository /ɹɪˈpɒz.ɪ.t(ə.)ɹɪ/

Sons difíceis para falantes de português:

  • Consoante final — sem acrescentar um “i” depois: laptop /ˈlæp.tɑp/, commit /kəˈmɪt/, checkout /ˈt͡ʃɛkˌaʊt/, chart /t͡ʃɑɹt/, replacement /ɹɪˈpleɪsmənt/
  • /l/ final — a língua toca o céu da boca, não vira “u”: label /ˈleɪ.bəl/, pile /paɪl/, unofficial /ʌn.əˈfɪʃ.əl/
  • s + consoante no início — sem um “i” antes: sparse /spɑːɹs/, swarm /swɔɹm/

Como praticar com este vídeo

  1. Ouça o vídeo inteiro uma vez sem falar e anote as palavras que você não conhece.
  2. Comece na velocidade 0,75×, faça shadowing frase por frase e volte à velocidade normal quando ficar fácil.
  3. Grave a sua voz e compare com o original, prestando atenção a palavras como server, laptop, merge.

O que é a Técnica de Shadowing?

Shadowing é uma técnica de aprendizado de idiomas com base científica, originalmente desenvolvida para o treinamento de intérpretes profissionais. O método é simples, mas poderoso: você ouve áudio em inglês nativo e repete imediatamente em voz alta — como uma sombra seguindo o falante com 1-2 segundos de atraso. Pesquisas mostram melhora significativa na precisão da pronúncia, entonação, ritmo, sons conectados, compreensão auditiva e fluência na fala.

Técnica de shadowing: leia o guia completo passo a passo →