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The PostgreSQL extension for Visual Studio Code is here! GPS shows you how to get started with creating a new Docker PostreSQL server, managing your connections, chatting with your database, and more.

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Visual Studio Code

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42,177 görüntüleme • 1 yıl önce •via X (Twitter)

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The Acellus® Learning System automates much of the busy-work associated with grading & keeping records so that parents can focus on what matters most–helping your child succeed. Enroll now! ⬇️

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FullStackIzzy1 yıl önce

@madebygps I was using SQL tools (Extension) but hated the fact that I was not able to see ERDs. I just tried this extension and it woks perfectly! This is exactly what I needed!

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Watermelón1 yıl önce

@madebygps But but but what about MySQL 🥺

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@madebygps Cmon, do I need to keep talking about fonts, like where’s the basic accessibility, programming is for everyone, including those who have difficulty seeing

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@madebygps 🔥🔥🔥

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Meet the new Microsoft PostgreSQL extension for Visual Studio Code - packed with powerful tools to supercharge your PostgreSQL workflow, like: 🤖 Agent mode integration 💡 Schema visualization ⚡ Instant Docker PostgreSQL 🔎 IntelliSense-powered queries Learn more:
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Meet the new Microsoft PostgreSQL extension for Visual Studio Code - packed with powerful tools to supercharge your PostgreSQL workflow, like: 🤖 Agent mode integration 💡 Schema visualization ⚡ Instant Docker PostgreSQL 🔎 IntelliSense-powered queries Learn more:

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I installed a new Visual Studio Code extension to help me write code. But this extension doesn't get in your way. It doesn't try to write code for you. It only gives you hints and recommendations about your code. I like that. Like a second pair of eyes, looking over my shoulder and telling me how I can do things better. The extension is Traycer. You can install it directly from inside Visual Studio Code. It's free forever for anyone working on open-source projects (and if you aren't, you can use it for free until the end of June.) I recorded a super-duper-quick video to show you how this extension works. I know code generation is a huge thing, but I really appreciate tools that help me do what I do better. Thanks to the Traycer team for helping me with the extension and collaborating with me on this post!
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I installed a new Visual Studio Code extension to help me write code. But this extension doesn't get in your way. It doesn't try to write code for you. It only gives you hints and recommendations about your code. I like that. Like a second pair of eyes, looking over my shoulder and telling me how I can do things better. The extension is Traycer. You can install it directly from inside Visual Studio Code. It's free forever for anyone working on open-source projects (and if you aren't, you can use it for free until the end of June.) I recorded a super-duper-quick video to show you how this extension works. I know code generation is a huge thing, but I really appreciate tools that help me do what I do better. Thanks to the Traycer team for helping me with the extension and collaborating with me on this post!

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Looking for a seamless way to use local models in your development? With the AI Toolkit extension, you can now access the power of Foundry Local models, directly in Visual Studio Code. Read more in the latest blog:
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Here is a massive upgrade for your development workflow! This AI coding agent can help you solve tasks directly from GitHub, Jira, Linear, Trello, etc., using AI, MCP, and your IDE. It's a Visual Studio Code and JetBrains extension. Watch the video:
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This is, by far, one of the best uses of modern AI. If you don't use embeddings when querying your database, you are definitely leaving a lot on the table. In this video, I'll show you how to run semantic searches using OpenAI and PostgreSQL. It's all thanks to Pgai, an open-source PostgreSQL extension: Here's what will happen: 1. We'll create a simple table with news articles 2. We'll generate embeddings for those articles 3. We'll run queries on top of those embeddings For this video, I generated the embeddings using a simple query, but pgai Vectorizer would do the same automatically as new information makes it into the database. This is awesome! If you have a PostgreSQL database with data you are searching over, you should start experimenting with semantic searches immediately. For most use cases, a combination of full-text search + semantic search is the best approach. If you don't have a PostgreSQL database around, you can try free for 30 days using Timescale: Thanks to the TimescaleDB (by Tiger Data) team for partnering with me on this post!
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v0 Integrations: • Add storage to your generations with Upstash, Supabase, or Neon • Set up a database without creating a new account through Vercel Marketplace • Generate and execute SQL to interact with your database
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Cerebras Inference powers the world's top models - like Qwen3 Coder at 2000 tokens/s 🤯 And you can now access these models directly in Visual Studio Code with the extension and an API key (that you can get for free from
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