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 →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 […]
Read More →You’re deep in a refactor, you hand off a task to your AI coding agent, and you walk away to get coffee. When you come back, your project directory has been restructured — but so has everything else. The agent followed a chain of reasonable-looking steps that ended somewhere you never intended. This isn’t a […]
Read More →Why the biggest problem with MCP isn’t the protocol — it’s the context window tax. And how Code Mode solves it. Table of Contents What Is MCP? A Quick Refresher Model Context Protocol (MCP) is an open standard that lets AI agents connect to external tools and services. Think of it as a universal adapter: […]
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