The AI engineering workspace. Your agent turns an idea into a feature map, builds it phase by phase, and checks every feature in a real browser before it calls it done.
The agent built a feature, ran the tests and the build, then walked every check in the browser. A screenshot of the app, working on a demo project.
Most coding agents stop when the code compiles. iotoWeb keeps going: it knows what the feature is for, how it will be checked, and it does not mark it done until the checks pass in a running app.
Not a chat box bolted onto an editor. The plan, the code, the cloud and the checks all live in the same place, so the agent can see all of it.
Every picture below is a screenshot of iotoWeb itself, working on a demo project.
Monaco, language servers, a debugger, a terminal and a live preview — in the browser, in the desktop app, or on a cloud machine of your own. The agent works in the same editor you do, and shows every step it takes.
The agent ran the tests and the build, then opened the page it changed in a browser. Screenshot of the app.
Give it an idea, a PDF, a spec or an existing repo. It returns phases, features, tasks and the checks that prove each one — then builds the plan phase by phase, and records what it proved.
.featuremap/, so it travels with the code
Phases, one shipped feature and the screenshots its checks took — from the Feature Map panel in the editor.
Ten ready-made profiles set how the agent plans, how much it reads, when it asks, and how its work is shown to you — including the styles of the tools you know. Pick one, then change any dial on its own.
Account → Agent, where a profile is picked. Screenshot of the app.
Connect AWS, Azure or Google Cloud read-only. Your account becomes a diagram you can click, with the findings worth fixing — and the agent answers questions about it with the real CLI output behind every answer.
A demo AWS account, read by the plugin's own collectors. Screenshot of the app.
Open the tables and files a project reads and writes, query them, see what changed, and move rows between environments without leaving the editor.
Installs from the editor's Plugins gallery when it ships — the gallery already lists it.
The editor's Plugins gallery today: Cloud Management installs, Data Management and Agent Management are on the way.
Skills it writes for itself, sub-agents that explore in parallel, the tools and MCP servers you connect, and hooks that run on every action — reusable across every project.
Pick the model per task and run the agent where your code lives — on your laptop, on a cloud machine of your own with a real browser, or inside VS Code. Nothing to configure: one account reaches every provider.
A coding agent writes code. A workspace knows what you are building, proves it works, and runs the infrastructure around it.
When the agent has built it, publish it. Pick a name like mybakery.com and iotoWeb registers it to you, points it at your app and secures it with HTTPS. Minutes, and nothing to configure.
Search for a domain and buy it without leaving your app. It is registered in your name: it is yours.
DNS, the certificate and a worldwide edge are set up as part of the purchase. No records to copy, no dashboard to learn.
You see the price before you buy, and the domain's year is one line on your monthly bill. It renews yearly until you switch it off.
Connect it by adding one record at your provider. It goes live once the record is seen.
A credential is never put on a command line, never sent to the model, and never returned to the browser.
Risky actions wait for you. Cloud changes are proposed as commands you read before anything runs.
Every tool call, every approval and every cost is recorded, and every edit can be undone.
Projects live in your own My Files space, and the old version of every file is kept in its history.
The desktop app gives the agent your real shell, filesystem and browser — and installs the iotoweb command-line tool with it.
On an iPhone or iPad: open iotoweb.com/m in Safari, then Share → Add to Home Screen.
npm i -g @iotoweb/cliiotoweb feature-map run --yesNo subscriptions and no seats. You pay per model call — the provider's cost plus a small platform fee — and you see every cent.
Start with an idea or an existing repo. Your first feature map takes a minute.