Ask some reasoning models “What’s 2+3?” and they’ll chew through 900+ tokens before telling you “5.” That’s like hiring a consultant who writes a ten-page memo to confirm the sky is blue, then bills you by the page. This is the problem token-budget-aware reasoning solves. Here’s what it is, why it matters, and how to […]
Read More →A claim has been making the rounds in AI coding circles: stop prompting your coding agents and start designing loops that prompt them for you. Like most things, it gets repeated far more than it gets explained. This is the practical version — what an agent loop is, why it matters, and what one actually […]
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 →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 →Your agentic app just ran a search. The tool returned 500 results as JSON. Your agent appended all of it and fired off an API call — 45,000 tokens to answer a question that needed maybe 4,500. Tejas Manohar, a senior engineer at Netflix, hit this problem every day. He was running out of tokens […]
Read More →