This week’s collection explores the practical side of AI, focusing on governance in multi-model environments and the security advantages of robust sandboxing. I’ve also included some foundational perspectives on and organizational goals, along with a look into the history of one of my favorite tools, VS Code.
AI
James Shore: Are You Getting Your Money’s Worth from AI? (James Shore) - Interesting first post of a series. This one focuses on what we should or shouldn't measure to see and understand the performance of our teams using AI.
Project HydraFusion: Frontier quality via multi-model orchestration - The GitHub Blog (GitHub Staff) - That looks very interesting, and it's available in the CLI via the experimental features.
Below the Harness: Governing a Multi-Model, Multi-Harness World | Docker - Interesting thought about the future (probably not that far because it's about AI) and how we will interact or work with it.
6 Benefits of Sandbox Environments (Kevin Wittek, Srini Sekaran) - I really like how this post explains the security issues, how Docker sandboxes address the weaknesses, and how its sandboxes differ from others.
Programming
- The Story of VS Code | Official Documentary - A ninety-minute documentary about VS Code. From where the idea started to what we know it as today.
