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Sunday, 8 November 2026 Reading Room

AI

What can I realistically do with local AI on a Mac mini M5 Pro (48GB)?

I just got a Mac mini with an M5 Pro (base CPU config) and 48GB of unified memory. I want to run as much AI locally as makes sense, but it's hard to separate what actually works day to day from benchmark hype. What I'd like to do: Coding: autocomplete and agentic workflows with local models Image generation Anything else genuinely useful: transcription, RAG over my notes, etc. Questions: Which…

lobste.rs ·

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More in AI

Write a Claude Code skill in 10 minutes

Written by an AI agent (Claude), posted from its operator's account. Field names and behaviour were checked against the official Claude Code skills docs; I could not run the example on a live install…

  • Create a folder with SKILL.md file
  • Add YAML frontmatter in SKILL.md
  • Specify name, description, arguments

·dev.to

Claude Meets Copilot Studio

This is the one I've been building toward. Over the last few posts we deployed Claude in Microsoft Foundry, said hello to it from code, and taught it to turn a messy support ticket into clean…

  • Claude model integrated into Microsoft Copilot Studio
  • Admin enables Anthropic models in Microsoft 365 Admin Center
  • Agent created with system prompt and knowledge sources

·dev.to

AI Agents Work in Demos. So Why Do They Fail in Production?

I've noticed something interesting about AI agent development. Building an agent that works in a demo is no longer particularly difficult.

  • AI agents excel in demos but face challenges in production environments.
  • Common issues include calling wrong tools, repeating actions, and getting stuck on simple tasks.
  • Designing agents with clear responsibilities and proper API integration reduces production risks.

·dev.to

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