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rebyte.ai

Field notes on agents, computers, and the work they do.

MAY 2 · 2026 / Story

A Month of Building Rebyte From My Phone

For thirty days I shipped Rebyte without opening a laptop. A fleet of cloud VMs does the work, voice drives them, and a wall of scheduled skills watches the rest. The phone is just the remote control. Here is the system that makes that real.

APR 28 · 2026 / Product

Introducing Adits: Never Edit Again

A workspace for editing files with an AI coding agent. You bring the agent — Claude Code, Codex, or Gemini CLI. We bring the surface. adits.ai is in public beta now, and the whole thing is open source.

APR 2 · 2026 / Engineering

How We Built Sub-Second Sandbox Startup

A deep dive into our two-tier snapshot architecture that delivers 400ms hot starts and permanent filesystem persistence — with zero data loss.

MAR 29 · 2026 / Philosophy

Skills Need a Browser

Before the web, information was siloed on individual machines. Hyperlinks and browsers changed everything. AI skills are at the same inflection point — the capabilities exist, but there is no execution layer for ordinary people. We are building it.

MAR 28 · 2026 / Philosophy

Rebyte Is Not a Super Agent

The market is full of enterprise agent systems — vertical solutions and generic "do everything" platforms. Rebyte takes a different path: four fundamental primitives that anyone can understand and combine.

MAR 16 · 2026 / Engineering

From Serverless Functions to Serverless Agents

AWS Lambda changed backend development by eliminating idle server costs. AI agents need the same revolution — but with full Linux environments, persistent state, and unlimited runtime. This is what Lambda for agents looks like.

MAR 5 · 2026 / Engineering

Why Every Agent Needs a 'Box'

AI agents are evolving from local geek toys into enterprise-grade productivity tools. The key infrastructure enabling this transformation is a new kind of sandbox — fast startup, long-running, persistent, on-demand, self-identifying, and network-isolated.

MAR 4 · 2026 / Engineering

Agent Memory Done Right

The industry spent years overcomplicating AI agent memory. We took the simplest approach that works — plain text facts in the cloud.

rebyte.ai · san francisco · 2026
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