Postgres docs and skills. Helps AI coding tools generate better PostgreSQL code.

Created at 10 days ago

by Tiger Data

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AI-optimized PostgreSQL expertise for coding assistants. pg-aiguide helps AI coding tools write dramatically better PostgreSQL code. It provides: - Semantic search across the official PostgreSQL manual (version-aware) - AI-optimized “skills” available through MCP tools — curated, opinionated Postgres best practices used automatically by AI agents - Extension ecosystem docs, starting with TimescaleDB, with more coming soon

Categories

developer-tools

Tags

database

postgres

postgresql

documentation

skills

Postgres docs and skills. Helps AI coding tools generate better PostgreSQL code.

what is pg-aiguide?

pg-aiguide is an AI-optimized tool designed to enhance the capabilities of coding assistants by providing deep PostgreSQL expertise, ensuring that the generated code is up-to-date and follows best practices.

how to use pg-aiguide?

To use pg-aiguide, you can access it via the public MCP server at https://mcp.tigerdata.com/docs. Once installed, you can prompt it with questions about PostgreSQL or request schema designs.

key features of pg-aiguide?

  • Semantic search across the official PostgreSQL manual, tailored to specific versions.
  • AI-optimized skills that provide curated best practices for PostgreSQL.
  • Support for extension ecosystem documentation, starting with TimescaleDB.

use cases of pg-aiguide?

  1. Assisting AI coding tools in generating accurate PostgreSQL code.
  2. Providing guidance on schema design and indexing strategies.
  3. Enhancing the understanding of modern PostgreSQL features for developers.

FAQ from pg-aiguide?

  • Can pg-aiguide help with all PostgreSQL versions?

Yes! pg-aiguide is designed to provide version-aware support for PostgreSQL.

  • Is pg-aiguide free to use?

Yes! pg-aiguide is available for free through the public MCP server.

  • How does pg-aiguide ensure best practices?

pg-aiguide uses curated skills that reflect proven PostgreSQL best practices, ensuring high-quality code generation.

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