vavanessa.dev

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vavanessa.dev

vavanessa.dev

@vavanessadev

Vanessa Depraute 👩‍💻 solo full stack dev · 20 yrs XP · Paris 🇫🇷 1.5k⭐ on https://t.co/fmtqZjbZVE ai tooling & build in public 🇫🇷🇬🇧🇨🇳

Paris, France Katılım Nisan 2008
640 Takip Edilen135 Takipçiler
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vavanessa.dev
vavanessa.dev@vavanessadev·
i’ve been on x/twitter for almost 20 years, but mostly as a silent reader. posting a bit more now. If you are into tech, AI, programming, feel free to say hi 👋🥰 Mostly here to talk about my open source projects and sass/mobile apps dev journey/marketing let’s connect 🤝
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wyswyswys@bt_sofia_ai·
Idk why people use ghostty beyond the cute mascot 1. Leaks 2. Terminal performance is overrated when we just check our terminals every 5 mins when the AI finishes. Memory is at a premium, not speed. 3. Font rendering sucks, everything looks blurry, and the default accepted solution is to bold everything which makes blur worse. I went back to Hyper.
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mimi ୨ৎ
mimi ୨ৎ@pixelprayer·
What game is this ?
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CODIFY
CODIFY@codi_fyy·
🚨 BREAKING: Someone just built the exact tool Andrej Karpathy said someone should build. 48 hours after Karpathy posted his LLM Knowledge Bases workflow, this showed up on GitHub. It's called Graphify. One command. Any folder. Full knowledge graph. Point it at any folder. Run /graphify inside Claude Code. Walk away. Here is what comes out the other side: -> A navigable knowledge graph of everything in that folder -> An Obsidian vault with backlinked articles -> A wiki that starts at index. md and maps every concept cluster -> Plain English Q&A over your entire codebase or research folder You can ask it things like: "What calls this function?" "What connects these two concepts?" "What are the most important nodes in this project?" No vector database. No setup. No config files. The token efficiency number is what got me: 71.5x fewer tokens per query compared to reading raw files. That is not a small improvement. That is a completely different paradigm for how AI agents reason over large codebases. What it supports: -> Code in 13 programming languages -> PDFs -> Images via Claude Vision -> Markdown files Install in one line: pip install graphify && graphify install Then type /graphify in Claude Code and point it at anything. Karpathy asked. Someone delivered in 48 hours. That is the pace of 2026. Open Source. Free.
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vavanessa.dev
vavanessa.dev@vavanessadev·
@brockpierson Yeah, from 2022 to 2025, but then I had to work on some ios/apple projects, so I had to leave my dear Arch Linux / Hyprland 😑😭
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⭕ Brock Pierson
⭕ Brock Pierson@brockpierson·
Be honest, have you ever used Linux for your daily driver operating system?
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vavanessa.dev
vavanessa.dev@vavanessadev·
@Varnika99 @parthfullstack A better tactic is to create markdown prd’s with tasks, subtasks etc, and ask ai to update it frequently and make documentation. So if you hit rate limits, you can continue with any model
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Varnika
Varnika@Varnika99·
Why is everyone shifting from claude codex? Should I also consider it?
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vavanessa.dev
vavanessa.dev@vavanessadev·
@sahill_og Minimax 20$ token plan + opencode value is incredible, claude code pro feels like a demo for the same price
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Sahil
Sahil@sahill_og·
I’m ready to invest $20, Which one should I choose? - Claude - Codex - Cursor - Antigravity - GitHub Copilot Which one is more worth it right now?
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Pratik 📈
Pratik 📈@PratikSinhatwt·
| ̄ ̄ ̄ ̄ ̄ ̄ ̄ ̄ ̄ ̄ ̄ ̄ ̄| | Share your GitHub profile. | |_____________| \ (•◡•) / \ / —— | | |_ |_
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vavanessa.dev
vavanessa.dev@vavanessadev·
大家好!我的中国朋友们,我是法国人,正在学习中文。我很想和你们聊天😁🇨🇳🇫🇷(with @HelloChineseApp )
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vavanessa.dev
vavanessa.dev@vavanessadev·
@justbyte_ Anthropic ceo replied to that in a recent interview, from what i remember it was because he wants AI to help / superpower human creativity, not replace it.
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Aryan
Aryan@justbyte_·
Why doesn’t claude have an image or video generation model?
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Avinash Singh
Avinash Singh@AvinashSingh_20·
Share your GitHub profile, I’ll review it and drop feedback!
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Mari
Mari@Tech_girlll·
Do people read programming books these days?
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vavanessa.dev retweetledi
Rahul
Rahul@sairahul1·
Karpathy didn't make a course. He made THE course. 3 hours. Free. Tokenization. Attention. Hallucinations. Tool use. RLHF. DeepSeek. AlphaGo. Every behavior you've ever wondered about in an LLM - where it comes from, why it exists, how it was engineered. The gap between engineers who understand this and engineers who don't isn't technical depth. It's the ability to conceive of entirely different things.
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vavanessa.dev
vavanessa.dev@vavanessadev·
@Samaytwt Convex ou spacetimedb ! Supabase is still very good tho
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Samay
Samay@Samaytwt·
Be honest As a developer, which database is better in the AI era?
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GitHub Projects Community
GitHub Projects Community@GithubProjects·
| ̄ ̄ ̄ ̄ ̄ ̄ ̄ ̄ ̄ ̄ ̄ ̄ ̄| | Share your GitHub profile. | |_____________| \ (•◡•) / \ / —— | | |_ |_
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Charly Wargnier
Charly Wargnier@DataChaz·
INSANE. Did you know the #1 GitHub trending repo (68k+ stars) is literally just a CLAUDE.md file 🤯 It uses @karpathy's 4 LLM principles to keep AI in check: → Seek clarity: Always ask before making assumptions. → Stay minimal: Avoid bloat and keep things simple. → Edit surgically: Limit changes strictly to the task at hand. → Define targets: Map out clear goals before starting. I pasted this into my own workspace, and the code outputs are so MUCH TIGHTER now 💥 Free and open-source. repo below ↓
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arc.
arc.@arceyul·
acaban de resolver uno de los mayores problemas de Claude Code 🙇‍♂️ esta herramienta elimina los límites de uso y evita que deje de funcionar cuando alcanzas el límite. más de 47k stars en GitHub, gratis y open-source. te explico cómo instalarla
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