Pratica di Shadowing: When open-sourcing your code goes wrong... - Impara a parlare inglese con i video
Creazione lezione...
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The programming world recently witnessed something unprecedented, the fastest rise of an open source project in the history of the universe.
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A project that went from failed side project to over 200,000 GitHub stars in a matter of weeks.
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A project that's already been acquired by OpenAI for probably some absurd amount of money.
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That project, of course, is OpenClaw, a tool that's not much more than a basic JavaScript AI wrapper.
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But what most people fail to realize is
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that every piece of software you use today is built on the shoulders of giants.
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And sadly, many of those giants died in battle a long time ago.
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Nearly every piece of meaningful software out there is built with the blood, sweat, and tears of highly creative and talented programmers.
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What's depressing, though, is that almost all of those programmers never got to reap the glory and money from their own creations.
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In today's video, we're going to look at the stories of five open-source projects that achieved a meteoric rise, then crashed out under the weight of their own success.
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It is February 26th, 2026, and you're watching The Code Report.
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Yesterday, I was working on laying out some sick beats with the Arturia Microfreak.
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But what I failed to realize is
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that this commercial product is actually based upon the incredible work of the developer behind Mutable Instruments, Emily Gallay.
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It's an incredible tool that can make sound waves do anything you can imagine.
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It's coded by hand in C++, but there was always a problem in the background.
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Burnout.
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This project was managed by a solo business owner who just wanted something else in life.
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And when she decided to move on to a new venture, the project simply faded away.
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But as the old saying goes, it's better to burn out than to fade away.
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And that's what happened to a popular project called Faker.js, a project that burned out in spectacular fashion.
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Faker was a JavaScript library with millions of weekly downloads that generated fake data,
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which was awesome for automated testing and astroturfing millions of fake users for your social media app to raise money from VCs.
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But one fateful day in 2022, the developer Maroc Squires did something bold.
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He deleted the source code, replaced it with the text Endgame, and published version 6.6.6 on NPM.
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And this instabricked thousands of JavaScript apps when they went to update dependencies.
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The corporations that depended on his work were rightfully pissed, but he was pissed himself for providing free work with no pay, and made this update in protest.
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Unfortunately though, he was kicked out of his own project and it was taken over by a new developer, and still lives on today.
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But sometimes, even projects that are well-funded with big teams can still fail, like Parse.
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Before Supabase won, and even before Firebase won, there was a backend as a service called Parse in 2011 that provided a database and auth for mobile apps.
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Developers loved it so much that Facebook acquired it for $85 million in 2013, which was considered a lot of money back then.
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That gave the project access to the most talented developers in the industry, but just a few years later in 2016, it was killed by Facebook and shut down.
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Any developer using it was forced to migrate to a new platform.
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Zuck decided that hosting mobile app infrastructure was a waste of time, but this story has a semi-happy ending.
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The code behind Parse Server was open-sourced, which allowed developers to self-host and maintain it independently.
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But if you're an elderly developer from that time period, another project you might remember is Meteor, one of the first frameworks to do full-stack JavaScript before it was cool.
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In 2013, Ruby on Rails was all the rage, but Meteor looked like the next big thing because it did all the same stuff,
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but relied entirely on JavaScript instead of the beautiful yet esoteric Ruby language.
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Its design also used WebSocket connections and stateful servers to perform instant UI updates that felt magical on early demos, but that was also part of the problem.
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When apps went into production, they were difficult to maintain and didn't easily scale horizontally in the cloud.
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When React and Angular hit the scene a few years later, devs decided it was best to separate the client from the server again, and its popularity slowly faded into the abyss.
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Ironically, future frameworks like Next would start reintroducing these same concepts once again, but timing is everything in software, and Meteor was just born before its time.
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Well, actually, maybe timing isn't everything, like in the case of Open Solaris.
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In 2005, Linux was the dominant open-source operating system on servers,
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But this superior new horse entered the race based on Sun Microsystems' Solaris Unix.
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It has the ZFS file system, D-Trace observability, and even had containers before Docker was a thing.
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On paper, it was the far better OS, but then in 2010, something really bad happened.
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Oracle acquired Sun Microsystems, and almost overnight, the project's future evaporated.
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Open development stopped, source releases quietly disappeared, and the community realized the experiment was over.
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Oracle put Solaris back behind closed doors to protect its enterprise business, forcing developers to fork the last available code.
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So even though the timing was great and it was technically brilliant, it failed because the ownership changed.
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But possibly the most spectacular open source failure of all time is one you didn't see coming,
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Mozilla Firefox, which is a prime example of when open sourcing your code goes wrong.
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You see, in the 1990s, Netscape dominated the web browser market share, but Microsoft wanted a piece of that pie.
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So what Microsoft did was bundle Internet Explorer directly into Windows, turning the browser into a free default instead of a product you had to choose.
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When Netscape started losing market share, their response was radical.
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Open sourced the browser and rallied the internet to its side.
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The internet cheered, but the problem is that the code was a mess.
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Eventually, this code became the Mozilla project, but the transition was a nightmare that required a near-total rewrite of all its legacy code.
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Meanwhile, Internet Explorer rapidly captured new users through distribution alone.
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By the time Mozilla eventually produced Firefox, which was faster, safer, and just better, Netscape itself was already dead.
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The company lost the browser war, proving that open source can build better software, but it can't beat platform control and distribution.
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Ironically, though, that same failure revived browser competition and laid the groundwork for the modern web, meaning Firefox succeeded technically by first losing commercially.
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But if you dream of building your own failed open-source project in 2026, you need to know about CodeRabbit, the sponsor of today's video.
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They just launched a new feature that lets you customize how their AI code reviewer writes pull request summaries.
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So instead of wasting time decoding your team's PRs, you and your team can tell CodeRabbit exactly what information you want to see in every summary.
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Like here, we made a doc telling it to include what changed and why, with special callouts to any branching changes or new dependencies.
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CodeRabbit will follow these instructions to make sure that every PR gets a clean summary that everyone can quickly scan.
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It's already saving dev teams hundreds of hours, and you can try it for free with the link below.
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This has been The Code Report, thanks for watching, and I will see you in the next one.
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Contesto e sfondo
Il video racconta storie di progetti open-source che hanno avuto un successo impetuoso ma poi sono falliti, mettendo in luce sfide come il burnout, le decisioni aziendali e i cambiamenti tecnologici. Attraverso questi racconti, emerge un linguaggio tecnico ma accessibile, perfetto per chi vuole esercitarsi a capire conversazioni in inglese su argomenti informatici e di innovazione.
5 frasi chiave per la comunicazione quotidiana
- "Built on the shoulders of giants": Espressione per dire che qualcosa si basa su lavori precedenti. Utile per parlare di innovazione o eredità culturale.
- "Reap the glory and money": Raccogliere gloria e denaro. Ideale per discutere di successi professionali o risultati di progetti.
- "Instabricked thousands of apps": Rendere inutilizzabili migliaia di app in un istante. Un esempio di linguaggio informale tecnologico utile per conversazioni su sviluppo software.
- "Faded into the abyss": Scomparire gradualmente. Perfetto per descrivere progetti o tendenze che perdono importanza.
- "Timing is everything": Il momento giusto è fondamentale. Una frase versatile per parlare di opportunità in qualsiasi contesto.
Guida passo passo per lo shadowing
Lo shadowing in inglese è un metodo efficace per migliorare pronuncia e fluenza. Ecco come usarlo con questo video: 1. Ascolta un frammento di 10-15 secondi e ripetilo immediatamente, cercando di imitare l'intonazione e il ritmo. 2. Concentrati su espressioni come "burned out" o "kicked out", che hanno un significato figurato. 3. Usa un shadowing site per registrare te stesso e confrontarti con l'originale. 4. Ripeti le frasi chiave finché non le senti naturali. Questo video, con il suo mix di storia e tecniche, è ottimo per esercitare il shadowspeak e la pratica di conversazione in inglese, perché combina linguaggio quotidiano con termini specifici, preparandoti a situazioni reali.
Cos'è la tecnica dello Shadowing?
Shadowing è una tecnica di apprendimento delle lingue supportata da studi scientifici, originariamente sviluppata per la formazione dei traduttori professionisti e resa popolare dal poliglotta Dr. Alexander Arguelles. Il metodo è semplice ma potente: ascolti un audio in inglese di madrelingua e lo ripeti immediatamente ad alta voce — come un'ombra che segue il parlante con un ritardo di solo 1–2 secondi. A differenza dell'ascolto passivo o degli esercizi di grammatica, lo shadowing costringe il tuo cervello e i muscoli della bocca a elaborare e riprodurre simultaneamente i modelli di discorso reale. La ricerca dimostra che migliora significativamente la precisione della pronuncia, l'intonazione, il ritmo, il discorso connesso, la comprensione dell'ascolto e la fluidità del parlato — rendendolo uno dei metodi più efficaci per la preparazione alla prova di speaking dell'IELTS e per la comunicazione reale in inglese.