Tier 1

A coding assistant that actually runs and verifies your code

Orbit is an AI coding assistant that goes beyond autocomplete: it writes entire features, executes the result in a cloud sandbox, runs typechecks and production builds, and fixes what breaks — so the code it returns is verified, not guessed.

AI Coding Assistant

Most coding assistants stop at suggestions. Orbit owns the whole loop: generate code, compile it in an E2B sandbox, run an inline typecheck, give the model one surgical fix pass, then heal remaining issues against a production gate. The result is code you can trust because it already ran.

In plain English

Most coding assistants just suggest code. Orbit writes the code, runs it in a safe sandbox, checks it compiles, and fixes what breaks — so you get verified output instead of confident guesses.

AI Coding Assistant — build, chat, research, and create media in one AI workspace on Orbit
Orbit is an AI coding assistant that goes beyond autocomplete: it writes entire features, executes the result in a cloud sandbox, runs typechecks and production builds, and fixes what breaks — so the code it returns is verified, not guessed.

How it works in Orbit

Orbit treats code generation as an engineering loop, not a text autocomplete. The difference shows up in how it writes, verifies, and repairs code inside a real sandbox.

Generation with execution, not guessing

When you ask for a feature, Orbit writes the implementation to files in a cloud sandbox and then runs it. Because the code actually executes, the assistant learns what breaks and can fix it — instead of returning plausible code that fails on your machine.

The inline typecheck loop

Every build runs a typecheck against the real project configuration. The model gets one focused fix pass, and any remaining errors flow through a heal loop. This tight cycle is what makes the output trustworthy for production work.

Surgical edits through an AST server

For existing projects, Orbit uses an AST-powered recovery engine to make precise semantic changes — fixing import paths, resolving export mismatches, renaming symbols across files — with latency measured in milliseconds.

Built for the whole lifecycle

The same sandbox that writes code also scaffolds, provisions databases, and serves previews. Coding on Orbit therefore connects to the rest of your workflow: a feature you generate can be previewed and shipped from the same project.

  1. Describe the feature

    Tell Orbit what to build or fix — 'add a dark mode toggle that persists to localStorage.'

  2. Watch it write real files

    Orbit generates code into your project and shows the diff in the timeline.

  3. Run the verification loop

    The code is typechecked and built; the model fixes what breaks.

  4. Review and iterate

    Ask for changes and Orbit surgically edits the files, keeping your custom code intact.

The challenge

Try it yourself

Run this one on a competitor first — then on Orbit. Same prompt, and keep score.

Build

Try this one elsewhere first.

Ask two assistants to build a small TypeScript feature and check whether each one compiles before you see it. You'll notice who actually runs their own work.

Research

Ask a research tool to go deep on one topic.

Then ask Orbit. Compare how many rounds it runs, how many sources it actually reads — we target 65+ — and whether every claim in the final report has a link attached. Bring a bigger coffee mug.

Chat

Ask a plain chatbot the same question.

One just talks. Orbit's agent actually searches the web, runs code, reads your files, and comes back with something done. Compare how many tabs you opened and how many are still open when you're finished.

Image & video

Generate the same image, then edit it.

Ask two tools for the same hero shot, then ask both to recolor it, fill in the background, and animate it. Compare who hands you a first draft and who keeps refining in the same conversation.

150+

models routed per task

1h

cloud sandbox sessions

25

tool calls per chat turn

8–14

deep research rounds

Explore related topics

Frequently asked questions

Is Orbit good for production code or just prototypes?

Both. The build pipeline verifies written files, typechecks the project, and runs a production build before unlocking a preview. That verification loop is why Orbit code tends to compile on the first try.

Can Orbit refactor my existing codebase?

Yes. Orbit's AST-powered recovery engine makes precise semantic edits — fixing imports, resolving export mismatches, and applying large refactors with sub-second latency via a dedicated AST server.

Which languages and frameworks does Orbit support?

Orbit standardizes on the React + TypeScript stack for builds, while the chat and research layers route across 150+ models. TypeScript, JavaScript, Go, Rust, Java, and PHP questions are handled by the coding assistant and verified in sandboxes.

How does Orbit verify code before returning it?

Generated code runs through an inline typecheck, then the model gets a single surgical fix pass, then a heal loop resolves remaining issues against a production build. You receive code that already compiled and ran.

Can Orbit see my project files?

Yes, within the workspace. Orbit reads the files in your project to make context-aware edits, and every write is guarded by path checks so it only touches files it is allowed to change.