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rustpostgresdeveloper-toolsai-assisted-programming

Postgres rewritten in Rust, now passing 100% of the Postgres regression tests

GitHub - malisper/pgrust: Postgres rewritten in Rust, now passing 100% of the Postgres regression tests

github.com

July 9, 2026

2 min read

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62/100

Summary

pgrust is a rewrite of Postgres in Rust that achieves 100% compatibility with Postgres 18.3, passing over 46,000 regression tests. It maintains disk compatibility with Postgres and can boot from an existing Postgres 18.3 data directory, aiming to facilitate internal changes while preserving the original behavior and using AI-assisted programming.

Key Takeaways

  • pgrust is a rewrite of Postgres in Rust that achieves compatibility with Postgres 18.3 and passes over 46,000 regression tests.
  • pgrust is disk compatible with Postgres and can boot from an existing Postgres 18.3 data directory.
  • The project aims to facilitate internal changes to Postgres while maintaining expected behavior and utilizing AI-assisted programming.
  • pgrust is not yet production-ready and lacks compatibility with existing Postgres extensions and procedural languages.
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Community Sentiment

Mixed

Positives

  • Passing 100% of the Postgres regression suite is a monumental achievement, showcasing the potential of Rust to enhance reliability and performance.
  • The shift to a thread per connection model could significantly boost performance, which has commenters buzzing about scalability and efficiency.
  • The use of LLMs in rewriting Postgres could herald a new era of database architecture, potentially integrating modern techniques that have evolved over decades.

Concerns

  • The reliance on tests to validate the rewrite raises eyebrows; many argue that real-world production experience is what truly builds reliability.
  • Skepticism looms over claims of a 50% improvement in OLTP performance; doubts are surfacing about potential trade-offs that might not hold up in production.
  • Concerns about new bugs introduced during the rewrite process highlight the risks of relying solely on automated testing without extensive real-world validation.