A hands-on introduction to Flue, an experimental TypeScript framework for building server-side LLM agents. Covers the agent/harness/session model, three working examples from a simple translator to a container-backed coding agent, and an honest look at the trade-offs — so you can decide whether Flue fits your stack before you commit. Table of Contents You’ve decided […]
Read More →This post draws on research across blogs, videos, and company profiles in the AI native space. What follows is my commentary on the patterns I kept seeing — the framework, the workflows, and the thinking that separates organizations genuinely operating this way from those just using AI tools. Being “AI native” isn’t just about using […]
Read More →A 2026 study found 26% of agent skills from public marketplaces contain vulnerabilities — and 5% show patterns of deliberate malice. NVIDIA’s SkillSpector scans skills before installation using static analysis and optional LLM review. This post covers what it catches, how to run it in CI, and the blind spots you still own. Table Of […]
Read More →On June 9, 2026, Anthropic released Claude Fable 5, their most capable model available to the general public. Three days later, the US government ordered them to shut it off. No geographic carve-out. No targeted users. Everyone. What happened in those 72 hours is as revealing as anything we’ve seen in frontier AI deployment: a […]
Read More →Docker Sandboxes (sbx) is Docker’s dedicated security tool for running autonomous AI coding agents — Claude Code, Gemini CLI, GitHub Copilot, and others — inside fully isolated MicroVM environments. This post covers the core security architecture, essential CLI commands, and customization options, so you can evaluate whether sbx belongs in your AI-assisted development workflow. Table of Contents […]
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