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Why Axum? Tokio's HTTP framework: typed handlers and extractors. • Rust + Axum • Next.js • PostgreSQL + SQLx • Gemini • Docker • RustRover, a JetBrains IDE @JetBrains Full video:

Francesco Ciulla

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16,157 görüntüleme • 1 ay önce •via X (Twitter)

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Deleted again because misinformation 🥲 Gemini 3.5 Flash *is* available on the API. Yet, both the API and the CLI versions are 3x slower than on the IDE! See the video below. → Antigravity IDE: 4 seconds (smooth) → Antigravity CLI: 15 seconds (buggy) So the point holds: they want you to use the visual IDE. Problem is: it is 2026. NOBODY should be using IDEs anymore. Get over it. Let it GO. I’m certainly not launching a VSCode fork to use a model, no matter how great it is. They invent a portal gun, only to lock it behind a taxi subscription, because they completely fail to realize their very product deprecates that other thing they think will make them money? Cursor is a great example of a company that (sadly) is very likely fail because of that mindset. Composer is actually surprisingly good model. They should put all efforts in serving it. Yet, they keep locking it under an old school product that nobody wants to use. And even these who DO use IDEs probably won’t necessarily pick YOUR IDE. And they shouldn’t. You do NOT need them to, to make money. Your model is the product. You keep chasing old business models. Completely out of touch. Meanwhile Anthropic is all charging at full speed to sooner or later surpass Google by just serving great models under an API /ctrlv

Deleted again because misinformation 🥲 Gemini 3.5 Flash is available on the API. Yet, both the API and the CLI versions are 3x slower than on the IDE! See the video below. → Antigravity IDE: 4 seconds (smooth) → Antigravity CLI: 15 seconds (buggy) So the point holds: they want you to use the visual IDE. Problem is: it is 2026. NOBODY should be using IDEs anymore. Get over it. Let it GO. I’m certainly not launching a VSCode fork to use a model, no matter how great it is. They invent a portal gun, only to lock it behind a taxi subscription, because they completely fail to realize their very product deprecates that other thing they think will make them money? Cursor is a great example of a company that (sadly) is very likely fail because of that mindset. Composer is actually surprisingly good model. They should put all efforts in serving it. Yet, they keep locking it under an old school product that nobody wants to use. And even these who DO use IDEs probably won’t necessarily pick YOUR IDE. And they shouldn’t. You do NOT need them to, to make money. Your model is the product. You keep chasing old business models. Completely out of touch. Meanwhile Anthropic is all charging at full speed to sooner or later surpass Google by just serving great models under an API /ctrlv

Taelin

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7 ChatGPT prompts that made me $40K last month on YouTube. I didn’t film once. Here’s what I typed: Prompt 1: generate 10 viral video ideas in your niche, based on latest trends and what performs best. Prompt 2: write a full YouTube script with a hook, story arc, and call to action that maximizes watch time. Prompt 3: build me a faceless channel. Script it, voice it, edit it. Tell me every tool. Make it run without me. Prompt 4: generate a high-ranking title, description, and tags for my video. Clickworthy. SEO-optimized. Prompt 5: write a 15-second hook for my video that makes people physically unable to stop watching. Prompt 6: create a 30-day growth and monetization plan for a new channel from zero subscribers. Prompt 7: take my YouTube video and turn it into a blog post, a Reel, a TikTok, and a Twitter thread. 7 prompts. 1 laptop. 0 cameras. Most people are still filming themselves in bad lighting wondering why nobody watches. The channel doesn’t need your face. It needs your prompts.

7 ChatGPT prompts that made me $40K last month on YouTube. I didn’t film once. Here’s what I typed: Prompt 1: generate 10 viral video ideas in your niche, based on latest trends and what performs best. Prompt 2: write a full YouTube script with a hook, story arc, and call to action that maximizes watch time. Prompt 3: build me a faceless channel. Script it, voice it, edit it. Tell me every tool. Make it run without me. Prompt 4: generate a high-ranking title, description, and tags for my video. Clickworthy. SEO-optimized. Prompt 5: write a 15-second hook for my video that makes people physically unable to stop watching. Prompt 6: create a 30-day growth and monetization plan for a new channel from zero subscribers. Prompt 7: take my YouTube video and turn it into a blog post, a Reel, a TikTok, and a Twitter thread. 7 prompts. 1 laptop. 0 cameras. Most people are still filming themselves in bad lighting wondering why nobody watches. The channel doesn’t need your face. It needs your prompts.

RGK

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The next big AI trade won’t come from chasing the same names everyone is already crowded into. It will come from spotting the next bottleneck before the market does. After $NVDA, $ARM, and $MRVL have already made their explosive moves, everyone is asking the same question: Which stock could be next?🚀 In my new YouTube video, I break the AI industry into a simple 3️⃣-layer framework — and explain why I’m now paying close attention to Layer2️⃣: the “hidden middle layer” between AI hardware and end-user applications. This is where AI starts moving from hardware hype to real enterprise adoption — and where the next wave of capital could start crowding in. If you still want AI exposure but feel late to the first wave, this framework gives you a cleaner map of where the next explosive opportunity may appear. Watch the full breakdown on YouTube — before the next AI trade shows up on everyone’s radar.🚨 Check out the video here👇

The next big AI trade won’t come from chasing the same names everyone is already crowded into. It will come from spotting the next bottleneck before the market does. After $NVDA, $ARM, and $MRVL have already made their explosive moves, everyone is asking the same question: Which stock could be next?🚀 In my new YouTube video, I break the AI industry into a simple 3️⃣-layer framework — and explain why I’m now paying close attention to Layer2️⃣: the “hidden middle layer” between AI hardware and end-user applications. This is where AI starts moving from hardware hype to real enterprise adoption — and where the next wave of capital could start crowding in. If you still want AI exposure but feel late to the first wave, this framework gives you a cleaner map of where the next explosive opportunity may appear. Watch the full breakdown on YouTube — before the next AI trade shows up on everyone’s radar.🚨 Check out the video here👇

J Law

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