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Notes from the team building your agents.

You Already Have a Chatbot. Your Product Needs an Agent.

You Already Have a Chatbot. Your Product Needs an Agent.

Most of the time an enterprise doesn't need another chatbot — everyone already has one. The work happens in products and workflows that aren't chat at all, and what they need is agentic capability woven into that flow. rebyte-app-kit is a template for building that: you own the app; the backend handles just three things — the agent, the session, and the runtime.

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.

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.

Do We Really Need to Build AI Agents for Data?

Do We Really Need to Build AI Agents for Data?

The software for data work already exists and is mature. The only problem was UX. AI coding agents fix that — no specialized data agent required.

How We Built Sub-Second Sandbox Startup

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.

Skills Need a Browser

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.

Rebyte Is Not a Super Agent

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.

From Serverless Functions to Serverless Agents

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.

Why Every Agent Needs a 'Box'

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.

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.

Product Update: Four Agents, Lightning Boot, Professional Skills

Product Update: Four Agents, Lightning Boot, Professional Skills

Full support for Claude Code, Codex, Gemini CLI, and Open Code. Sub-2-second VM startup. Anthropic professional skills built in.

Cloud Sandbox for AI Agents

Cloud Sandbox for AI Agents

Isolation, persistence, security, parallelism, and access from anywhere.

Build a Real Full-Stack App with Just Prompts

Build a Real Full-Stack App with Just Prompts

How agents, cloud agent runtimes, and managed hosting combine to ship complete applications.

Turn Agents into a Full-Stack Factory

Turn Agents into a Full-Stack Factory

It's all about composability.

Agent + Specialized Skills Is All You Need

Agent + Specialized Skills Is All You Need

Every task is a software task. You just need the runtime to run it.