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AI-assisted coding-tutorial tool for learning to code; now unmaintained as its creator moved to another project.
Free tool that auto-generates conversational, browsable documentation for any public GitHub repo, from the makers of Devin.
A fast, keyboard-driven Mac/Windows launcher with an extension store and built-in AI commands for power users who live in shortcuts.
Spreadsheet-style Python data tool inside Jupyter that generates code via AI so analysts and data scientists can skip hand-coding.
No public pricing
No public pricing
Free trial available
No public pricing
- ✦AI-powered coding tutorials
- ✦Interactive, developer-style lessons
- ✦Guided learning with modern tools
- ✦Demo project walkthrough
- ✦Waitlist sign-up (courses coming soon)
- ✦AI-generated documentation for GitHub repos
- ✦Conversational Q&A about a codebase
- ✦Browsable index of popular repositories
- ✦Deep code indexing via Devin
- ✦Extendable command-bar launcher for macOS and beta Windows support
- ✦Thousands of third-party extensions from a public store
- ✦Built-in AI chat and custom AI command automation
- ✦Clipboard history, window management, and calculator utilities
- ✦Text snippets and quicklinks for repetitive actions
- ✦Hotkeys and aliases for common apps and commands
- ✦Team plan for sharing snippets, quicklinks, and extensions
- ✦Spreadsheet interface inside Jupyter notebooks
- ✦AI-generated Python code from spreadsheet actions
- ✦Runs on customer infrastructure (no data sent to Mito)
- ✦Bring-your-own LLM API keys
- ✦Excel-to-Python conversion
- ✦Compatible with existing Jupyter extensions
- →Learning to code with an AI assistant
- →Following interactive coding tutorials
- →Practicing with guided project examples
- →Understanding an unfamiliar codebase quickly
- →Onboarding to open-source projects
- →Answering questions about repo internals
- →Launching apps and running quick commands without leaving the keyboard
- →Automating repetitive text and file tasks with snippets and quicklinks
- →Getting AI answers or writing help without switching apps
- →Sharing productivity tooling and extensions across a team
- →Analysts automating Excel-style reports without hand-writing code
- →Data scientists speeding up exploratory data analysis
- →ML engineers iterating on feature engineering in notebooks
- →Enterprises needing private, self-hosted AI coding assistance