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Blocks are reusable components that define specific behaviors and capabilities for AI assistants, from custom instructions to advanced model configurations

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The following blocks were recently created by the Continue community

qwen2.5-coder 1.5b

The latest series of Code-Specific Qwen models, with significant improvements in code generation, code reasoning, and code fixing

qwen2.5-coder 14b

qwen2.5-coder 32b

qwen2.5-coder 3b

qwen2.5-coder 7b

dlt MCP

MCP server equipped with tools to interact with your dlt pipelines. The `uv` package manager is required. Don't install both the dlt and the dlt+ MCP servers to avoid redundant tools.

Exa MCP

The Exa MCP server enables AI assistants to perform web searches using Exa's powerful search API, providing structured search results including titles, URLs, and content snippets

Docker MCP Github

Angular CLI Docs

Angular Material Docs

RxJS Docs

Data science & machine learning - Conda Docs

Data science & machine learning - Jupyter Docs

Data science & machine learning - Matplotlib Docs

NumPy Docs

Pandas Docs

Python Docs

Exploratory Data Analysis Prompt

Create Data Pipeline

Data science & machine learning rules

Django Celery Docs

Django Docs

Django REST Framework Docs

Django Auth Prompt

Django Model Prompt

Django Views Prompt

Django Rules

Express Docs

Express Rules

Flask Docs

Flask Rules

Java Docs

Java Rules

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JavaScript Rules

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