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marimo uses Python to create notebooks, unlike Jupyter which uses JSON. Here's an example notebook:

Pydantic is a great way to declare a source of truth for a batch job, especially for ML. You can declare something like:

When writing an anywidget use vanilla javascript in _esm and do not forget about _css . The css should look bespoke in light mode and dark mode. Keep the css small unless explicitly asked to go the extra mile. When you display the widget it must be wrapped via widget = mo.ui.anywidget(OriginalAnywidget()) . You can...

IMPORTANT : When asked to translate a notebook, ALWAYS run uvx marimo convert -o FIRST before reading any files. This saves precious tokens - reading large notebooks can consume 30k+ tokens, while the converted .py file is much smaller and easier to work with.

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Analyzes and optimizes Flutter application size by measuring build artifacts, generating size analysis reports, utilizing Dart DevTools for component breakdown, and implementing specific size reduction strategies such as debug info splitting, resource compression, and platform-specific tree-shaking. Assumes a...

Evaluates whether APIs, configurations, and interfaces are resistant to developer misuse. Identifies designs where the "easy path" leads to insecurity.

Solves the "context problem" in multi-agent workflows where subagents don't know what context they need until they start working.