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Postgres 19

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    Postgres 19 delay linked to surge in bug reports●Postgres 19 is late because so many more bugs are being found nowYhn7936 d ago

    PostgreSQL 19's release is running late, with developer Robert Haas attributing the delay to an unusually high number of bugs being found in the codebase. In a blog post he connects the bug surge to AI-assisted development generating more testing and code scrutiny. The PostgreSQL community is debating whether this reflects healthier testing or AI-produced low-quality contributions straining maintainers.

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    Postgres 19 is late, and AI gets the blame●Postgres 19 is late, and it's AI's faultYhn1007 d ago

    A new blog post by longtime PostgreSQL contributor Robert Haas argues that the release of Postgres 19 has fallen behind schedule, attributing the delay to the surge of AI-generated patches and automated contributions flooding the development process. The claim has sparked debate among developers about how AI tooling is affecting open-source review workloads and release timelines.

  3. 3
    Postgres inventor and steward on what AI really needs▼Built to bend: Postgres’s inventor and a steward on what AI really needs PARTNER CONTENT: Michael Stonebraker and BruceMmastodonTechnology210 d ago

    Michael Stonebraker, who created Postgres, and longtime project contributor Bruce Momjian argue that enterprise AI needs a database no single company controls. In a partner feature, they point to PostgreSQL 19 as a sign of where the open-source database is heading, framing community-governed infrastructure as the right foundation for AI workloads.

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    PostgreSQL 19 delayed, and developer blames AI●📰 Haas: Postgres 19 is late, and it's AI's fault PostgreSQL developer Robert Haas writes about the struggles the projectMmastodonTechnologyAI07 d ago

    PostgreSQL core developer Robert Haas has written about the difficulties the open-source database project has faced in assembling its next release, arguing that AI-generated contributions are a factor behind the delay of PostgreSQL 19. Haas suggests low-quality AI submissions are adding workload for maintainers reviewing patches, slowing the release cycle. The piece has sparked debate in developer communities about AI's impact on open-source projects.