AI Is Slowing Down Software Development? The Unprecedented Delay of PostgreSQL 19

Imagine you are building a database system, a “digital vault” that tens of thousands of users trust every day. Usually, once a year in the autumn, you release an update packed with new features. But this time was different. Once the smart “AI inspectors” were deployed, they uncovered a massive amount of small gaps (bugs) that developers had failed to notice. In the end, the development team decided to delay the release and give up on the ambitious features they had prepared, promising to revisit them later.

This is the story of PostgreSQL, a database system trusted by developers worldwide. The delay of PostgreSQL 19 highlights an interesting yet painful phenomenon that occurs when AI meets software development.

Why Does This Matter?

Bugs are an inseparable part of software development. But what happens if the speed at which these bugs are discovered far exceeds the speed at which humans can fix them? This situation goes beyond the simple fact that a release has been delayed; it suggests that the quality standards for software in the AI era are changing fundamentally. References 16

In the past, because humans reviewed code manually, minor issues were sometimes overlooked unless they were critical. Now, with AI monitoring the entire development process meticulously, development teams are forced to pass much stricter criteria. This is encouraging news, as it means the stability of the digital services we use will likely improve in the future, but it also comes as a tremendous burden for developers. References 8

Understanding It Simply

Let’s compare the “code review” process to something simpler. Imagine you have completed a beautiful puzzle. In the past, your friends might have looked over your shoulder and found a piece that seemed out of place. Now, it’s as if an AI super-microscope is scanning the entire puzzle and finding every single error with 0.1mm of precision. References 9

The LLM (Large Language Model)-based AI code review tools deployed during this PostgreSQL development process poured out over 40 detailed defect reports. References 11 The AI was so diligent and accurate in finding problems that human developers simply did not have enough time to fix them all.

In short, it’s as if a strict teacher named AI appeared, and the homework check became so thorough that the class could not finish the curriculum. Ultimately, PostgreSQL committer Peter Eisentraut remarked on the situation, stating, “The AI is finding flaws in the code faster than humans can fix them.” References 10 In the end, to meet the deadline, the team decided to cut 8 to 10 major features and postpone the release until November 19 rather than forcing “imperfect new features” into the release. References 12, References 13

Where Do We Stand?

PostgreSQL 19, which was originally scheduled for release between September and October, is currently undergoing final work with a target public release date of November 19. References 5, References 14 Among the features postponed this time were important ones like the highly anticipated “SQL Property Graph Queries (SQL/PGQ),” which will be missed by users who were waiting for them. References 2, References 12

These changes are impacting not only the database community but also thousands of companies that had scheduled database migration timelines. References 15 Nevertheless, the PostgreSQL development philosophy of putting “quality” first has been proven once again through this event. References 6

What’s Next?

The features postponed this time are scheduled to be showcased in the next version, PostgreSQL 20. Interestingly, just a few months ago, developers expected PostgreSQL 20 to focus solely on bug fixes without any new features. References 4 However, because of this incident, the expectations and the weight of responsibility on v20 have become much greater.

We expect AI to help us “make” software faster, but the reality is that AI is also meticulously “verifying” the software we make, causing unexpected changes in development cycles. While the software development ecosystem will guarantee higher stability in the future, it will also present developers with new challenges as they have to address the homework assigned by AI.

MindTickleBytes AI Reporter’s View

The way AI persistently digs into human error feels as though hundreds of picky veteran developers are standing by. AI does not miss the minor mistakes that a human might simply pass over. If we can navigate this transitional period well, the digital world we use will become significantly more robust and secure than it was before. It may be a difficult time for developers, but I believe it is an essential growing pain to deliver higher-quality technology to us in the end.

References

1. PostgreSQL: Release Notes
2. Why PostgreSQL 19 Pulled Major Features at the Finish Line - YouTube
3. Postgres 19 delayed after AI reviewers find more bugs than humans…
4. Canal: Linuxverso + Educación STEAM – Telegram
5. Postgres 19 is late, and it’s AI’s fault - Neon
6. Заглядывая в будущее: Postgres 19. REPACK, SQL/PGQ… / Хабр
7. PostgreSQL 19 Running Behind Schedule Due To AI/LLM Burden
8. PostgreSQL 19 출시 지연과 기능 보류: AI 코드 리뷰가 바꾼 소프트웨…
9. PostgreSQL 19 loses 8 to 10 features, and a developer points …
10. PostgreSQL 19 Delayed: AI Review Finds 40 Bugs [2026]
11. PostgreSQL 19 Slips to November After LLM-Assisted Review …
12. Postgres 19 Delayed to Nov 19: AI Review Caused 8-10 Reverts …

13. [PostgreSQL 19 перенесли на 19 ноября: что случилось…

    AiManual](https://ai-manual.ru/article/postgresql-19-perenesli-na-19-noyabrya-chto-sluchilos-s-relizom-i-pri-chyom-tut-llm-revyu-koda/)

14. Релиз PostgreSQL 19 перенесли на 19 ноября: ревью с помощью…
15. PostgreSQL 19 не выдержал новой планки качества.
16. PostgreSQL 19: Часть 1 или Коммитфест 2025-07 / Хабр