Block AI
The next era of computing will run itself. Our team of researchers, engineers, and product builders is pushing the boundaries of what’s possible with AI to deliver intelligent financial tools that empower people and businesses around the world.
Block AI
The next era of computing will run itself. Our team of researchers, engineers, and product builders is pushing the boundaries of what’s possible with AI to deliver intelligent financial tools that empower people and businesses around the world.
What We Think
Interviews, blog posts and podcasts of our research
AI Open Source
We believe in contributing back to the community. Over the last quarter, Block AI has contributed to projects including TensorFlow, Hugging Face, and released several key datasets under permissive licenses.
A tool created by Block's engineering team to standardize and distribute coding guidelines and preferences across various AI coding assistants.
An innovative MCP server featuring 9 council members with distinct personalities who debate topics, vote on each other's opinions, and generate synthesized conclusions through AI-powered deliberation.
Jupyter MCP Server allows you to pair with AI coding assistants in a JupyterLab notebook where the state of your variables is preserved by the JupyterLab Kernel. This enables seamless collaboration where agents can install packages, fix errors, and hand off to you for data exploration at any time.
Gives AI coding assistants access to your iOS/macOS project index through the Model Control Protocol (MCP) and IndexStoreDB. This provides exhaustive lists of function call sites to help your agent with refactoring and code navigation.
Block in the News
What We Think
Interviews, blog posts and podcasts of our research
AI Open Source
We believe in contributing back to the community. Over the last quarter, Block AI has contributed to projects including TensorFlow, Hugging Face, and released several key datasets under permissive licenses.
A tool created by Block's engineering team to standardize and distribute coding guidelines and preferences across various AI coding assistants.
An innovative MCP server featuring 9 council members with distinct personalities who debate topics, vote on each other's opinions, and generate synthesized conclusions through AI-powered deliberation.
Jupyter MCP Server allows you to pair with AI coding assistants in a JupyterLab notebook where the state of your variables is preserved by the JupyterLab Kernel. This enables seamless collaboration where agents can install packages, fix errors, and hand off to you for data exploration at any time.
Gives AI coding assistants access to your iOS/macOS project index through the Model Control Protocol (MCP) and IndexStoreDB. This provides exhaustive lists of function call sites to help your agent with refactoring and code navigation.