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pgtestdb's template cloning approach to testing is fast
developer-toolspostgrestesting-frameworksgo-programming
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Pgtestdb's template cloning approach to testing is fast

pgtestdb is a Go/Postgres testing package that utilizes Postgres template databases for efficient testing. Cloning a template database is significantly faster than migrating a test database from scratch or using Docker-based techniques.

brandur.org

πŸ”₯πŸ”₯πŸ”₯πŸ”₯πŸ”₯

3 min

8/1/2026

Go LLM SDK for streaming, tool-calling AI backends (plus frontend React lib)

Grafana AI SDK for Go enables applications to call language models, stream responses, and execute tools using a unified API. It is compatible with Vercel's AI SDK and supports Server-Sent Events (SSE) for real-time data streaming to React frontend hooks.

github.com

πŸ”₯πŸ”₯πŸ”₯πŸ”₯πŸ”₯

3 min

7/31/2026

Pgtestdb's template cloning approach to testing is fast

pgtestdb is a Go/Postgres testing package that utilizes Postgres template databases for efficient testing. Cloning a template database is significantly faster than migrating a test database from scratch or using Docker-based techniques.

brandur.org

πŸ”₯πŸ”₯πŸ”₯πŸ”₯πŸ”₯

3 min

8/1/2026

Go LLM SDK for streaming, tool-calling AI backends (plus frontend React lib)

Grafana AI SDK for Go enables applications to call language models, stream responses, and execute tools using a unified API. It is compatible with Vercel's AI SDK and supports Server-Sent Events (SSE) for real-time data streaming to React frontend hooks.

github.com

πŸ”₯πŸ”₯πŸ”₯πŸ”₯πŸ”₯

3 min

7/31/2026

Pgtestdb's template cloning approach to testing is fast

pgtestdb is a Go/Postgres testing package that utilizes Postgres template databases for efficient testing. Cloning a template database is significantly faster than migrating a test database from scratch or using Docker-based techniques.

brandur.org

πŸ”₯πŸ”₯πŸ”₯πŸ”₯πŸ”₯

3 min

8/1/2026

Go LLM SDK for streaming, tool-calling AI backends (plus frontend React lib)

Grafana AI SDK for Go enables applications to call language models, stream responses, and execute tools using a unified API. It is compatible with Vercel's AI SDK and supports Server-Sent Events (SSE) for real-time data streaming to React frontend hooks.

github.com

πŸ”₯πŸ”₯πŸ”₯πŸ”₯πŸ”₯

3 min

7/31/2026

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