You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
I’d like to propose the development of a Visual Studio Code (VS Code) extension that integrates a chat-based assistant specifically for Trino users. The goal is to enhance productivity and make it easier for developers to interact with Trino directly from their IDE.
Key Features:
Natural Language Querying:
Allow users to type questions or requests in natural language (e.g., “Show me the largest tables in schema X”), and receive Trino SQL queries or results in response.
Inline Help and Documentation:
Provide instant access to Trino documentation, usage examples, and best practices without leaving VS Code.
Query Assistance:
Offer suggestions, auto-completions, and error explanations for Trino SQL queries.
Workflow Integration:
Enable users to run Trino queries and view results directly within the chat, possibly with visualization support.
For further development, we can also implement MCP Server for LLM Integration
reacted with thumbs up emoji reacted with thumbs down emoji reacted with laugh emoji reacted with hooray emoji reacted with confused emoji reacted with heart emoji reacted with rocket emoji reacted with eyes emoji
Uh oh!
There was an error while loading. Please reload this page.
-
I’d like to propose the development of a Visual Studio Code (VS Code) extension that integrates a chat-based assistant specifically for Trino users. The goal is to enhance productivity and make it easier for developers to interact with Trino directly from their IDE.
Key Features:
Natural Language Querying:
Allow users to type questions or requests in natural language (e.g., “Show me the largest tables in schema X”), and receive Trino SQL queries or results in response.
Inline Help and Documentation:
Provide instant access to Trino documentation, usage examples, and best practices without leaving VS Code.
Query Assistance:
Offer suggestions, auto-completions, and error explanations for Trino SQL queries.
Workflow Integration:
Enable users to run Trino queries and view results directly within the chat, possibly with visualization support.
For further development, we can also implement MCP Server for LLM Integration
Beta Was this translation helpful? Give feedback.
All reactions