Gibil v0.3.2: Your Servers, Your Timeframe
Human-friendly TTL durations, a 1-year cap, and no more mental math. Here's what changed and why.
Blog
Thoughts on ephemeral compute, AI agents, and fire.
Move Your AI Agent Off Your Laptop
Even with one agent, your laptop shouldn't be doing the work. One command gets you a remote server instead of an afternoon of setup.
Gibil v0.2.0: Don't Switch Branches. Spin Up a Server.
New branch command, remote coding agents, port forwarding, and a security hardening pass. Here's what's new.
Run Your Test Suite on a Disposable Server
We ran Zod (3,574 tests) and Fastify (2,206 tests) on ephemeral ARM servers. Here's what we learned.
Designing CLIs for AI Agents: The --json Pattern
AI agents are the new power users. Here's how to build CLIs they can actually use.
Stop Polluting Your Local Machine
Your laptop is for thinking. Builds, tests, Docker, and experiments belong on a disposable server.
AI Agents + Gibil MCP: Development on Real Infrastructure
How AI agents use MCP tools to read, write, and run code on a remote server — without touching your machine.
VMs vs Sandboxes vs Cloud Sessions: Picking the Right Compute for AI Agents
Four architectural options for giving your AI agent a machine to work on. Each makes a different tradeoff.
Fire That Forges, Fire That Fades: The Story Behind Gibil
Why we named a dev tool after a 5,000-year-old Sumerian fire god — and what a salamander has to do with it.
Why AI Agents Need Servers, Not Sandboxes
Sandboxes cap at 4 vCPU with no root and limited sessions. Agents doing real work need full machines.