Nicolas Jit

I'm a computer science student and passionate blogger. Follow me for practical tips on programming, consistency, and self-care. Let's code together!

[Nicolas Jit @jit1873]

Good read

[nisarga @ni5arga]

everyone wants a hacking roadmap.

the problem is that roadmaps don't create hackers.
curiosity does.

ctfs are changing, ai is everywhere, and the game looks very different now.

how i'd start hacking in 2026: https://t.co/VZS76KTHWJ

[Nicolas Jit @jit1873]

@PriyaSinh26 @RBI @AshwiniVaishnaw @RailMinIndia @drmhowrah why is becoming a daily routine

[Addy Osmani @addyosmani]

https://t.co/hIe0UX7z6T

[Claude @claudeai]

Introducing Claude Fable 5: a Mythos-class model that we’ve made safe for general use.

Its capabilities exceed those of any model we’ve ever made generally available.

[Tech With Tim @TechWithTimm]

Let me show you how to set up Hermes Agent the right way.

You'll learn how to run it 24/7, connect it to real apps, and use it for things like email triage, research, and daily automations.

So if you want to build an AI assistant that actually does things, watch this video.

[ABP News @ABPNews]

तपती गर्मी में नल से पानी पीने के बाद बंदर ने दिखाया इंसानों से बेहतर Civic sense, वायरल हुआ उत्तराखंड पुलिस का शेयर किया वीडियो!

#ViralVideo #UttarakhandPolice #WaterCrisis #Heatwave #ABPNews

[Yarchi @undefinedKi]

THE GUY WHO WON ANTHROPIC'S HACKATHON JUST GAVE AWAY HIS ENTIRE CLAUDE CODE PLAYBOOK FOR FREE. 10 MONTHS OF WORK, ALL PUBLIC

Affaan Mustafa won the Anthropic x Forum Ventures hackathon by building a full startup in 8 hours with Claude Code. Then he open-sourced the exact setup that did it. It's called Everything Claude Code, and it turns Claude from one assistant into an entire engineering team

Repo: affaan-m/ecc

This isn't a prompt pack. It's a system he refined over 10+ months of daily use shipping real products

What's inside:

A huge library of skills, dozens of specialized subagents, and ready-made commands, all working together. Each piece does one job. One subagent reviews security against OWASP standards. One optimizes memory so Claude stops forgetting earlier decisions around hour three. One learns from your past sessions and projects so the setup gets smarter the more you use it. Others handle planning, test-driven development, and language-specific code review

Instead of one assistant writing code, you get an orchestrated team. A main session delegates to the right specialist when the task calls for it, the way a real dev team splits work

The best part: it's not locked to one tool. It runs in Claude Code, Cursor, Codex and OpenCode, across Windows, Mac and Linux. Free, MIT licensed

This is the difference between using Claude like a search box and running it like a team that ships. The guy spent 10 months figuring out what actually works so you don't have to

Bookmark this

[周览资源分享 @grgerwcwetwet]

终于找到一个能替代 Wireshark 的开源神器。

GitHub 3.7 万 Star 的 Sniffnet，把网络监控做成了普通人也能看懂的样子。

很多人打开 Wireshark 的第一反应都是：
看不懂，直接关闭。

而 Sniffnet 完全不同。

实时显示上传下载流量、连接主机、访问域名、IP 地理位置，甚至还能查看正在偷偷联网的软件。支持流量过滤、PCAP 导入导出、多网卡监控。

最关键的是界面非常舒服。

不用研究抓包规则，不用学习复杂命令，打开就能看到电脑到底在和谁通信。很多用户直接把它当成 GlassWire 的免费替代品。(Windows Central)

Windows、macOS、Linux 全平台支持，Rust 编写，占用资源极低。(GitHub)

对于经常折腾代理、NAS、Docker、服务器的人来说，这绝对属于装机必备工具。

https://t.co/pXQHkfXRzU

[Spencer Baggins @bigaiguy]

A French engineer who lives quietly in Paris has spent 30 years writing software that the entire internet now runs on without knowing his name.

He wrote the code that streams every YouTube video, every Netflix show, every TikTok clip. He wrote the code that runs the virtual servers underneath AWS, Google Cloud, and Microsoft Azure. He calculated more digits of pi than anyone in history. He has no Twitter. He has no marketing. He just keeps shipping.

His name is Fabrice Bellard.

Here is the story, because almost nobody outside the systems programming world knows what one man has built.

Fabrice was born in 1972 in Grenoble, France. He studied at École Polytechnique, the top French engineering school. He never went to Silicon Valley. He never built a startup empire. He just wrote code.

In 2000 he started a project called FFmpeg, an open-source multimedia framework for encoding, decoding, and streaming video. He was 28. The project did one thing nobody else had done well. It handled every video and audio format that existed, in one library, on every operating system. He led it himself for years.

Today FFmpeg is the invisible engine of the internet. YouTube uses it. Netflix uses it. VLC uses it. Chrome and Firefox use parts of it. Every Android phone, every iPhone, every smart TV, every video editing tool you have ever touched runs FFmpeg somewhere underneath. If you have watched a video on a screen in the last 20 years, Fabrice's code processed it.

He was not done.

In 2003 he started QEMU, a machine emulator and virtualizer. He wrote it solo until version 0.7.1 in 2005. QEMU lets you run any operating system on any other operating system. It became the foundation of modern virtualization. KVM, the Linux kernel hypervisor, runs on top of QEMU. Every major cloud provider, AWS, Google Cloud, Microsoft Azure, IBM Cloud, runs virtual machines on infrastructure built around it. The Quick Emulator is the most cited piece of cloud infrastructure code on Earth.

He kept going.

In 2001 he won the International Obfuscated C Code Contest with a small C compiler that grew into TCC, the Tiny C Compiler. TCC can compile and boot a Linux kernel from source in under 15 seconds. In 2004 he calculated the most digits of pi ever computed at the time, using a personal desktop computer and an algorithm he derived himself called Bellard's formula. In 2011 he wrote a complete PC emulator in pure JavaScript that runs Linux in your browser, a project called JSLinux that engineers still cannot believe is real.

In 2019 he released QuickJS, a small but complete JavaScript engine that fits where V8 cannot. In 2021 he released NNCP, a neural network based lossless data compressor that immediately took the lead on the Large Text Compression Benchmark.

Then he turned his attention to large language models. He built TextSynth Server, a web server with a REST API for running LLMs locally. He released ts_zip and ts_sms, compression utilities that use language models to compress text and short messages at ratios traditional algorithms cannot reach. He released TSAC, a very low bitrate audio compression system. In December 2025 he released Micro QuickJS, a new JavaScript engine for microcontrollers, separate from QuickJS, designed for environments with almost no memory.

Fabrice co-founded a telecom company called Amarisoft in 2012, where he serves as CTO. Amarisoft builds 4G and 5G base station software used by carriers and labs around the world. He has been running it for over a decade while continuing to ship personal projects from his own home page at bellard dot org

He has no Twitter. He has no Instagram. He gives almost no interviews. His personal website is a flat list of projects with no styling, no fonts, no marketing copy. Just titles and links.

A quiet French engineer who never moved to Silicon Valley wrote the code that quietly runs the internet.

He is still shipping.

[Charly Wargnier @DataChaz]

🚨 ANOTHER MASTERCLASS FROM @3BLUE1BROWN

The compressibility of language isn’t just a math curiosity, it’s the hidden engine behind every LLM you use.

Grant’s new video reframes Shannon’s entropy through one elegant lens:

Prediction IS compression.

→ The better you predict the next word, the fewer bits you need to store it
→ Shannon measured English at ~1 bit per character: astonishingly compressible
→ This is exactly what GPT-style models optimize
→ Intelligence, in this framing, is compression

FUN FACT: Von Neumann told Shannon to name it “entropy” because nobody truly understands it anyway 😄

Decades later, that same concept became the bedrock of modern AI.

Deep-dive resources in the 🧵 ↓

[slash1s @slash1sol]

MIT DEDICATED A FULL LECTURE TO GIT'S INTERNALS -- BECAUSE THEY FOUND MOST DEVS MEMORIZE THE COMMANDS AND HAVE NO IDEA WHAT THE TOOL ACTUALLY DOES

A whole 85 minutes MIT session that refuses to teach git as a list of commands to copy, and instead shows you the data model underneath -- the thing that makes every command finally make sense.

-> The moment it clicks, git stops being scary magic. You stop memorizing "The incantation that fixed it last time" and start actually knowing what's happening.

Most people learn just enough git to not get fired. Four commands, blind faith, and a prayer before every merge.

In 2026 that's not enough anymore -> git is the literacy test for being in the room, and "I'll just reclone it" is the fastest way to look junior.

An AI agent will branch, commit and rebase faster than you can read. When it tangles the history, untangling it runs on understanding the model MIT teaches in this one hour.

Anyone can run git push. The person who understands the graph underneath is the one who saves the repo when it breaks.

Bookmark & Watch it ↓

[Nicolas Jit @jit1873]

@sidhant_sarthak Thikpad is power

[Chubby♨️ @kimmonismus]

I don't know anyone who doesn't have the utmost respect for Karpathy. This short documentary shows once again what a great scientist he is. A huge win for Anthropic.

[slash1s @slash1sol]

A DEVELOPER FOUND SEVEN WAYS TO TAKE DOWN A PRODUCTION DATABASE THAT ALL LOOK EXACTLY LIKE NORMAL, INNOCENT CODE AND ALMOST EVERY TEAM IS SHIPPING AT LEAST ONE OF THEM RIGHT NOW

17 minutes from Josh Berkus, one of the people who actually maintains PostgreSQL, walking through the quiet mistakes that turn a healthy database into a 3am outage.

-> The moment it lands, you realize none of these are exotic attacks. They're ordinary-looking decisions -- a query that locks a table, a connection that never closes, a setting no one ever questioned -- that work perfectly until the day they don't, and then they take everything down with them.

The scary part isn't that the database breaks. It's how normal the code looks right up until it does. A query that runs in 5ms on your laptop and 5 minutes on prod. A migration that silently locks the whole table. A connection pool that runs dry the moment real traffic shows up. Every one of them passed review.

Writing SQL that runs was never the hard part -> writing SQL that survives production is. And now that an AI agent is generating and firing queries at your real database faster than anyone can read them, every one of those seven landmines is one autocomplete away -- and the only person who can stop it is the one who already knows where they're buried.

Your database doesn't go down because someone attacked it. It goes down because something that looked completely normal finally caught up with it.

Save and Watch it today.
You'll see the next outage coming before it lands ↓

[Google for Developers @googledevs]

Unlock local, agentic workflows with Gemma 4 12B and Google AI Edge, directly on your laptop. Experience 100% on-device AI:

• Generate code in AI Edge Gallery (new to Mac)
• Dictate and edit text via AI Edge Eloquent (new to Mac)
• Serve Gemma 4 12B locally with LiteRT-LM

Dive in: https://t.co/gr7tOrZmc0

[slash1s @slash1sol]

A LINUX KERNEL DEVELOPER PROVED THE THING YOU PUSH CODE TO IS SECRETLY A DATABASE THAT CAN VERSION ALMOST ANYTHING AND THAT MOST DEVS HAVE ONLY EVER TOUCHED A TENTH OF IT

42 minutes from Josh Triplett -- a longtime Linux kernel and Debian developer -- showing that Git is a general-purpose, tamper-evident versioning engine that just happens to be famous for code.

-> The moment it clicks, Git stops being "Where my code lives" and becomes what it really is underneath: a content-addressable store that can version almost anything -- your configs, your notes, your servers' state, entire datasets.

People run whole wikis on it. They version their entire machine's configuration with it. They ship websites by pushing to it. They track data too big to email. None of it is a hack -- it's the same handful of objects you already use for code, pointed somewhere new.

Treating Git as a code-only tool was never the ceiling -> it's a versioning engine for anything, and the people who see that automate what the rest of the team still does by hand. And as AI agents start spitting out not just code but configs, docs and data, the one system that can version and audit all of it at once is already sitting on your machine.

You learned five commands to survive. This is the talk that shows you were standing on top of a database the whole time.

It changes what you think the tool is even for.

Bookmark & Watch it today ↓

[The Shift Journal @TheShiftJournal]

Only focus on what you want

[Nicolas Jit @jit1873]

Do you remember when you joined X? I do! #MyXAnniversary

[Anirudh @nirudhuuu]

Tech team ko bulao 🗣️

[Neo Kim @systemdesignone]

I created a GitHub repo to help you learn system design.
It gives you:

>System design foundations.
>AI engineering fundamentals.
>System design interview questions.
>Deep dives into real-world architectures.
>Simplified engineering case studies with visuals.

Star this repository now if you find it valuable:
https://t.co/57FAu0f9Oz