New: build a whole phase from the terminal

Plan it. Build it.
Prove it works.

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.

Web · Desktop · CLI · VS Code Claude, GPT, DeepSeek, Qwen & more Pay per use
iotoWeb · Code Editor · storefront
The iotoWeb Code Editor: the project's files, orders.ts open in the editor, and the agent's timeline reporting that feature FEAT-0009 passed all three of its checks in the browser.

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.

One agent, everywhere you work
How it works

From a sentence to a shipped, tested feature.

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.

The workspace

Everything an engineering team needs, around one agent.

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.

Code Editor

A real IDE, with the agent inside it.

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.

  • Language packs for 15 languages: completion, go-to-definition, problems
  • Breakpoints and step-through debugging
  • One git history across your laptop, the cloud sandbox and My Files
  • ▶ Run starts your app, however many processes it has, and shows it beside the code
  • Every read, edit, command and browser check on one timeline
  • Every edit the agent makes can be undone, turn by turn
iotoWeb · Code Editor · storefront
The Code Editor with the agent's timeline: npm test passing 3 of 3, a clean build, and the agent opening the discount codes page in a browser.

The agent ran the tests and the build, then opened the page it changed in a browser. Screenshot of the app.

Feature Map

Your product as a plan the agent can build.

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.

  • Builds phase by phase, and stops for your go-ahead between phases
  • Every feature is tested in a real browser, with a screenshot per check
  • Graded against the plan's own checks, not the agent's say-so
  • Why it exists, the flow, the edge cases and the code, on every feature
  • Design, document, graph and trace views; export to DevOps and GitHub
  • Lives in your repo as .featuremap/, so it travels with the code
iotoWeb · Feature Map · Storefront
The Feature Map: four phases with progress bars, and feature FEAT-0009 Discount codes, shipped, with why it exists and the screen the agent drew for it. The same feature's tests: 3 of 3 passed, with the three screenshots the browser checks took.

Phases, one shipped feature and the screenshots its checks took — from the Feature Map panel in the editor.

Agent Profiles

Work with the agent you already like.

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.

  • Cost-saving or thorough effort, per profile
  • Approve plans before building, at phase breaks, or never
  • A timeline shaped like Claude Code, Codex, Gemini CLI, Cline, Aider or Kiro
  • The same profile follows you to the desktop app, the CLI and VS Code
iotoWeb · Account → Agent
Account settings, How your agent works: profile cards for Balanced, Claude Code (in use), Autonomous, Explorer, Spec-first, Supervised, Pair programmer and Quiet expert, each with what it is good for and what it costs.

Account → Agent, where a profile is picked. Screenshot of the app.

Cloud Management

See your cloud as a picture. Change it safely.

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.

  • Every resource on one diagram: internet, front door, compute, data, network
  • Findings worth fixing — exposure, resilience, cost — found for you
  • The agent proposes changes as a numbered plan of real commands — it never runs one
  • You apply a step at a time; every step is approved and audited
  • Credentials never reach a command line, and never reach the model
  • Runs from your desktop or your cloud sandbox
iotoWeb · Cloud Management · Storefront production
Cloud Management with an AWS account: a diagram of 24 resources in layers, and six findings — a machine reachable from the internet, an unencrypted disk, a database with no standby, a stopped machine still costing money.

A demo AWS account, read by the plugin's own collectors. Screenshot of the app.

Data Management Coming soon

The data behind your app, next to its code.

Open the tables and files a project reads and writes, query them, see what changed, and move rows between environments without leaving the editor.

  • A Data panel in the sidebar
  • Query and preview, with the agent writing the SQL
  • Import and export between environments

Installs from the editor's Plugins gallery when it ships — the gallery already lists it.

iotoWeb · Plugins
The editor's Plugins gallery: Data Management and Agent Management marked planned and not yet available, Cloud Management ready to install.

The editor's Plugins gallery today: Cloud Management installs, Data Management and Agent Management are on the way.

Agent Library

Agents that learn your way of working.

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.

  • Your existing Claude Code skills, rules and hooks work as they are
  • Memory that carries across sessions and devices
  • Background jobs that report back, and runs you can resume
  • soonAn Agents panel: every agent, its tools, its cost and its runs
Models · Runtimes · Styles

Your models.
Your machine.
Your way of working.

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.

Anthropic ClaudeOpenAI GPTDeepSeekQwenMeta LlamaMistral+ more on AWS Bedrock & Azure
YOUR STACK
Agent style
Model
Runtime
Why iotoWeb

More than a coding agent.

A coding agent writes code. A workspace knows what you are building, proves it works, and runs the infrastructure around it.

Capability
Typical coding agent
iotoWeb
Built to be trusted

Powerful agents, on a short leash.

🔐

Secrets stay secret

A credential is never put on a command line, never sent to the model, and never returned to the browser.

✋

You approve the change

Risky actions wait for you. Cloud changes are proposed as commands you read before anything runs.

🧾

Everything leaves a trail

Every tool call, every approval and every cost is recorded, and every edit can be undone.

🗂️

Your files, your storage

Projects live in your own My Files space, and the old version of every file is kept in its history.

Desktop app · CLI · VS Code

Bring it to your machine.

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.

Just the terminal
npm i -g @iotoweb/cli
Build a whole phase, unattended
iotoweb feature-map run --yes
Pricing

Pay only for what you use.

No subscriptions and no seats. You pay per model call — the provider's cost plus a small platform fee — and you see every cent.

Pay as you go
Usage-based
Per model call · no minimum
  • Code Editor, agent profiles and Feature Map
  • Every model, switchable per task
  • Desktop app, CLI and VS Code extension
  • Cloud sandbox with a real browser
  • Chat, voice, images, knowledge base and web search
  • Per-task cost and a usage dashboard
Start building
Enterprise
Custom
Volume pricing
  • Everything in Pay as you go
  • Cloud Management across your accounts
  • Model fine-tuning and dedicated inference
  • Team management and audit
  • SLA and priority support
Talk to us
FAQ

Questions, answered.

Describe it today.
Ship it this week.

Start with an idea or an existing repo. Your first feature map takes a minute.