
Running LLMs Locally: A Guide to Docker Desktop’s AI Model Runner
A hands-on guide to using Docker Desktop's new AI capabilities. Explain how to pull and run open-weights models (like Llama or Mistral) locally using the Model Runner. Discuss the

A hands-on guide to using Docker Desktop's new AI capabilities. Explain how to pull and run open-weights models (like Llama or Mistral) locally using the Model Runner. Discuss the

Analyze the adoption of WebAssembly beyond the browser. Discuss use cases in serverless functions (scale-to-zero), edge computing, and plugin architectures. Highlight why Wasm is b

Review the 'Agent HQ' features in the latest VS Code release. Discuss the 'Agent Sessions' view and how it helps developers manage context across multiple AI tools. Explain 'Next E

Detail the key updates in Go 1.25. Focus on the synctest package for simulated time testing and the new encoding/json/v2 package. Explain the significance of 'Container-aware GOMAX

Explore the major features of Python 3.14, specifically the maturation of 'Free-threaded Python' (No-GIL). Explain what this means for CPU-bound performance in AI and data science