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VS Code extension letting developers chat with their own custom OpenAI assistants without leaving the editor.
Jupyter-native AI agent that remembers a data project across sessions and reads chart/plot outputs, not just code.
AI prototyping tool that generates UI matching your design system, letting product teams test features fast.
Google Labs experiment for building and sharing AI mini-apps from natural-language prompts, no coding required.
AI game-making platform where creators describe a game to generate playable 2D/3D worlds, sprites, and NPCs without coding.
No public pricing
No public pricing
No public pricing
No public pricing
No public pricing
- ✦in-editor chat with OpenAI assistants
- ✦workspace source-code context sharing
- ✦support for custom, user-defined assistants
- ✦secure management of the user's OpenAI account
- ✦Cross-session project memory recalling prior decisions and state
- ✦Autonomous execution of long, multi-step notebook tasks
- ✦Reads cell outputs (plots, tables, metrics), not just code
- ✦In-notebook cell-level assistance and error fixing
- ✦Installs directly into existing JupyterLab via pip, no new editor
- ✦Concept explanations with runnable example cells
- ✦AI UI generation from prompts
- ✦Match existing styling and design systems
- ✦Rapid, high-fidelity prototyping
- ✦Live team editing and sharing
- ✦Enterprise security and compliance
- ✦Build AI mini-apps from natural-language prompts
- ✦Visual editor for prompt/tool workflows
- ✦Share created apps with others
- ✦No-code AI app prototyping
- ✦Text-prompt or template-based game creation
- ✦3D game maker with generated worlds
- ✦AI sprite sheet and pixel-art generation
- ✦AI-driven NPC characters
- ✦Visual novel, RPG, and interactive-story makers
- ✦AI website, landing page, and portfolio builders
- →getting coding help without switching out of VS Code
- →using a personalized OpenAI assistant tuned to a project
- →quick in-editor Q&A while writing code
- →Data scientists running multi-week model iteration projects
- →Domain experts (e.g. risk/fintech) who know the problem but not deep Python
- →Researchers wanting an agent that remembers project context across days
- →Analysts needing help understanding unfamiliar algorithms or libraries
- →Prototype new product features
- →Test designs with customers
- →Build design-system-consistent mockups
- →Prototyping an AI workflow quickly
- →Sharing a custom AI mini-app
- →Automating a task with chained prompts
- →Hobbyists prototyping a game idea without coding
- →Educators using game creation as a teaching tool
- →Generating game art assets like sprite sheets
- →Building a simple AI-generated web app or portfolio site