You describe the work.
Agents build it, the right way.
Behind the simple chat is a real engineering pipeline. Your request becomes a task that builds in its own isolated workspace, gets reviewed, merged, and shipped, with many running at once.
Every request becomes a task that proves itself.
You ask in plain language. The platform turns it into a task on a board and moves it through building, an automatic review, and merging before it is ever marked done. Work is checked, not just generated.
- Queued
- Building
- Review
- Merging
- Done
each task moves itself from request to done
- Your request becomes a task, tracked from first word to finished work.
- Every change is typechecked and put through your tests, then read back by a reviewer, before it merges.
- The review calls you in when it needs a decision, instead of guessing.
- Only work that passes moves forward. Nothing ships half-checked.
- You watch it happen live, and can step in or redirect at any point.
Each task gets its own workspace. Many run at once.
Every task works in its own private space with a real terminal and real files, sealed off from the others. Several can build at the same time, so your work does not wait in line.
- TASK 01Its own isolated workspace, with a real terminal
- TASK 02Its own isolated workspace, with a real terminal
- TASK 03Its own isolated workspace, with a real terminal
all three build at the same time
- A real shell and real files for every task: install packages, run the code, and see it work.
- Each workspace is isolated, so one task can never disturb another's work.
- Several tasks build in parallel, each making progress on its own.
- When a task is done, its work merges cleanly back into the rest.
The agent doesn't just type code.
It works the way a careful engineer does: checking as it goes, seeing what it builds, and picking up exactly where you left off.
Checks its own work
As it writes, the agent continuously checks its code for errors and fixes them before finishing, so what it hands back already holds together.
Coordinates a team
A lead agent plans the work and hands parts to focused helpers, so bigger changes get done without losing the thread.
Picks up where you left off
Reply in the chat to refine or extend anything. The agent keeps the full context of everything it has built with you.
The right model for the job
Each task is matched to a strong model from today's leading AI. You are never locked to one, and can choose your own.
Sees what it builds
It can view the running app at phone, tablet, and desktop sizes and catch layout problems on its own.
Point and edit
Click any element in the live preview and change it directly. The edit is written straight back into your real code.
Shipping is safe by design.
Getting to production is part of the platform, not a separate chore. Every change is built, checked, and released the same careful way, and nothing goes live half-finished.
Your work in progress — set aside, untouched
- Clean base
- Fix + checks
- Live
the fix ships from the last clean version
- Every change runs through an automated pipeline that builds it, runs its checks, and deploys it.
- Releases are staged and flipped live with no downtime.
- Everything is versioned, so you can roll back to any earlier version.
- Need an urgent fix? A hotfix ships from your last clean version and leaves your work in progress untouched.
Ask the agent, or check it yourself.
You don't have to live in dashboards to get things done. Ask in plain language and the agent looks it up and acts. But nothing is hidden: the dashboards are still there as the source of truth, so you can inspect what happened, confirm the agent got it right, or take over and do it yourself whenever you prefer.
Just ask
- Cost breakdown
- Run history
- Security posture
- Deploy + roll back
- See what anything cost. AI, compute, and storage are all metered to one prepaid balance you can read at a glance.
- Walk back any run step by step, and see exactly what happened and when.
- Security is on by default: each app is isolated, outbound traffic is watched, and secrets stay off the model.
- If something breaks after a deploy, the platform can roll it back on its own, or open a fix for your approval.
Ship it your way.
Run on our platform for the full managed experience, point a deploy at your own host, or plug into the GitHub workflow you already use. It is real, standard code you own either way.
Build on our supported stacks and you get the whole platform: infrastructure provisioned for you, deploys, observability, and self-healing, all wired in.
Point a deploy at your own host and the same pipeline builds and ships it there. You run the infrastructure; we run the pipeline.
Start a project from a GitHub repo and it stays in sync with it, pulled in and pushed out as real Git history rather than one flattened commit, so this fits the workflow your team already uses.
Everything else is already handled.
The parts of building that usually eat your time are built in and wired together, ready the moment you need them.
The fiddly parts are done
AI features, background jobs, and agents are built on ready-made pieces, so what gets written for you stays simple and clean.
Media, handled
Upload images, video and audio. They are stored close to your users, optimized into modern formats and the right sizes, and served fast from a global edge. See how media works →
Your keys, kept safe
Keys for outside services are stored encrypted and unlocked only at the moment they are used, never in your code, your logs, or the model.
Connect the tools you use
Connect Slack, Gmail, GitHub, Notion and 1,050+ apps with one-click authorization, or wire up any API with your own key. Secrets stay off the model.
Your own pipeline and agents
Shape how the pipeline's phases run, and build your own agents for the work that is specific to you.
A drive for your work
A shared drive for your workspace and projects, with folders, version history, and search. Your files are stored in the region you pick.
Build it the right way
Describe what you want and watch the pipeline go to work. It is real code, and it is yours.