https://www.youtube.com/watch?v=1QaXyA3iwig

This video is about how AI programming is developing as a product. The author - Patrick Debois - demonstrates the new capabilities that have appeared in various IDEs and tools for developers thanks to AI. Instead of simple code completion, AI can now perform multi-file editing, select context, etc.

Patrick also describes how developers can expand the context for AI by adding documentation, style guides, terminals, and other sources of information. This allows for more accurate and efficient results from AI.

⚠️ The key point is that the role of the developer is changing - now more time is spent reviewing and evaluating what the AI has generated, instead of directly writing code.

Patrick talks about mechanisms to facilitate this process, such as automatic change highlighting, step-by-step presentation of results, and feedback.

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The European company Mistral has released an update for its online chat le Chat to catch up with both OpenAI and Anthropic. Currently in the free beta stage.

Now they also have an editor mode Canvas - and if you select a piece of code in it, an inline query window appears.

news announcement: https://mistral.ai/news/mistral-chat/

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In recent days, the model has been actively promoted on the internet for some reason Qwen 2.5 Coder

For connoisseurs of perversions here is a video

that demonstrates how to effectively combine the AI code editor Cursor with a local Qwen 2.5 3b or 14b (or 32b if you have a MacBook with an M chip) by installing an LM Studio server with CORS settings and using Ngrok to provide access through a public domain.

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⚙️ Bolt.newFork by Cole Medin github

a fork of the repository Bolt.new by StackBlitz (automatic creation of full-fledged web applications directly in the browser using Claude Sonnet 3.5), which allows using different LLM providers such as OpenRouter, Gemini, DeepSeek, Mistral and "Open AI Like" (for example, sambanova)

Also added the ability to Docker containerize the application to simplify installation and publish projects directly to GitHub.

next in line deploy to Vercel/Netlify and Voice prompting

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