DEVELOPER TOOLS / CODE PLAYGROUND

Online Code Compiler

Write, run, experiment and improve. A focused workspace for creative projects, algorithm practice, and browser-first coding.

AI learning coachMulti-file workspaceChallenge practiceReal test casesCheckpoints
PIXELOKAY / WORKSPACE IN-BROWSER
Ready
Local sandbox
Choose a quick example, insert, then Run. Your code stays yours.
Quick structural checks · runtime errors · not a full linter
main.jsLn 1, Col 1Tab indent · Shift+Tab outdent · Ctrl/⌘+F find · Ctrl/⌘+Shift+P commands
Console outputReady to run

JavaScript: use input and console.log().

Run your code to see output here.
JavaScript and HTML execute locally. Python loads WebAssembly on demand. Other languages are source-editable only.
No program run yet.
◇ Code execution stays in your browser. Sharing and optional external AI requests are separate opt-in actions.Local editing · No account required
ONE WORKSPACE · MANY WAYS TO LEARN

From your first line to your next challenge.

A browser-only code editor, practice trainer, and local workspace—designed to make the next step easy.

01

Write something

Start from a language template, create files, search across project code, and make local checkpoints before significant edits.

02

Run & debug with AI

Run enabled languages in an isolated browser Worker or preview, then review diagnostics and optionally ask an AI model for suggestions. AI never auto-runs code.

03

Practice & share

Try input/output challenges, run example tests, review results, save local snapshots or export a project ZIP.

Execution limits: This is not a secure hosted judge. JavaScript uses a disposable browser Worker; Python downloads WebAssembly assets on demand. C, C++, Java, PHP, Go and Rust are editable but cannot yet execute in this build. The iframe/Worker isolation is not equivalent to an operating-system security sandbox. HTML preview scripts run in the browser main thread and may freeze the tab if they never finish; closing a preview cannot reliably interrupt a busy main-thread script. Local sharing links are size-limited and include project source in the URL. Do not store secrets in code or share links.

LOCAL AI SETUP

Set up AI on this device

First, a model needs to be loaded on your device

PixelOkay's coding assistant can run inside your browser. The first setup may download hundreds of megabytes of model files. Later visits may reuse cached files, but the model must still load into memory.

  1. 1. Check device
  2. 2. Download / cache
  3. 3. Set up assistant
  4. 4. Start coding
WebLLM · WebGPU · Free on-device coding help. Model memory needs cannot be estimated from download sizes.
Choose another AI engine

Other engines have different requirements. Ollama and HTTPS providers can be configured in the existing coding assistant panel; browser-native models are managed by your browser.

Device & model resources

Measurements may be approximate
Device RAM / model memoryChecking device information…

Live system RAM, model RAM and GPU memory are not reliably exposed in browsers.

Not checked
Browser website storageChecking storage…

Site-wide estimate; includes other PixelOkay tools and is not RAM.

Not checked

Model cache has not been inspected.

No model download starts until you select Download & Load Model.

ONE ACTION · ALL RECOGNIZED AI MODEL DOWNLOADS

Free AI model storage across PixelOkay

Scan this website origin for WebLLM and Transformers.js model caches, plus safely recognizable model files. Includes caches from other PixelOkay tools, not only Online Compiler. No site data or browser databases are cleared automatically.

Inspect before deleting. Unknown caches, editor projects, chats and website files remain untouched.

Unknown IndexedDB/OPFS and browser-managed model files may remain. Close other PixelOkay AI tabs before deleting shared model files; they may re-download them.

Having trouble downloading or loading AI?

Old or incomplete AI model downloads may be using your browser's storage. First refresh storage or try the smaller model. If setup still fails, inspect and remove recognized coding model caches with confirmation, then download again.

Only verified WebLLM coding-model and Transformers.js model-cache entries are targeted. Other PixelOkay tools may need to redownload these models. Do not clear all website data without exporting important chats and projects first.

Select Check compatibility to see whether the current model can run.
Currently loadedNoneNo active inference session
Technical details & storage safety

Available device RAM, live model RAM and GPU memory are not reliably measurable. The storage meter reflects a browser estimate for all PixelOkay tools on this origin. The compiler can inspect two recognized WebLLM coding models and verified Transformers.js Cache Storage entries for targeted cleanup; unknown caches are not deleted. WebLLM downloads runtime and model files from external hosts when requested.

CROSS-TOOL MODEL CACHE CLEANUP

Delete recognized AI model downloads?

Inspecting deletion targets…

These model files may need to be downloaded again by other PixelOkay tools. Unknown data, source files, editor projects, chats and website databases are not targeted. Close other AI tabs first.

Local checkpoints

Save a named snapshot before experimenting. Up to three checkpoints stay in this browser, subject to storage limits. Export a project ZIP for a more durable backup.

Command palette

Keyboard: Ctrl/⌘+Shift+P · Enter to select · Escape to close

Actual browser runtime support

No code execution services: all enabled execution is in this tab. A runtime library may download static files, but your source and stdin are not sent to a compiler API.

Unsupported languages are source-editable only. A browser iframe/Worker is not an OS security sandbox. Run no secrets or hostile code. Larger runtimes may use significant memory or downloads.

Using Online Code Compiler

Edit a multi-file practice project and run browser JavaScript or HTML previews, with optional Python or configured remote compilation paths. Keep educational browser execution distinct from a secure server-side build environment.

  1. Create or import a project and choose JavaScript, HTML/CSS, or another supported editor mode; inspect the execution settings before running.
  2. Run the educational JavaScript/HTML preview locally. For Python, explicitly request the Pyodide runtime; for compiled languages, configure and consent to a remote endpoint before sending code or input.
  3. Review output and tests, then save a JSON/ZIP backup. Inspect optional AI suggestions before deciding whether to use them.

Example: Create a small JavaScript exercise, run it in the browser preview, inspect the output and practice-test results, then save a project backup before trying the optional Python runtime.

Limits and privacy: The browser preview is educational and is not a secure server-side judge. Python setup downloads Pyodide runtime files from an external CDN; configured remote compilers can receive submitted source and standard input. Other compiled-language toolchains are not bundled or claimed working. Optional AI/runtime providers depend on browser support and configuration; imported projects and suggestions are not run automatically.

Frequently asked questions

Is this a secure online judge for untrusted code?

No. Browser execution is intended for educational practice and is not a secure server-side judging environment.

What is sent when I choose a remote compiler?

The configured remote service may receive the source and standard input needed for compilation. Review the provider and its terms before enabling that path; local browser previews do not use that remote compiler.

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