44 afleveringen
- How does a fix for psql tab completion turn into 25 years of contributing to Postgres? In Episode 43 of Talking Postgres, Peter Eisentraut—PostgreSQL committer, core team member, SQL standards contributor, and Chief Architect of Database Servers at EDB—joins Claire to trace that journey. We dig into how scratch-your-own-itch development drew him in, why “the things you do, people welcome them” kept him coming back, and how Postgres changed as it grew from a small database community into a massive ecosystem where, from the Postgres mailing list perspective, “most of the user base is silent.” Plus: what it feels like when code you commit goes straight to everybody who uses Postgres, and the implications of the EU Cyber Resilience Act.
Previously on Talking Postgres:
Talking Postgres podcast Ep24: Why mentor Postgres developers with Robert Haas
Talking Postgres podcast Ep26: Open Source Leadership with Bruce Momjian
Talking Postgres podcast Ep32: The Fundamental Interconnectedness of All Things with Boriss Mejías
Links mentioned in this episode:
Conference: FOSDEM 2027
LinkedIn: FOSDEM PGDay 2027 announcement
Conference: Prague PostgreSQL Developers Day (P2D2)
Conference: PGDay Lowlands 2026 (the “friendliest” conference)
Conference: PGConf EU 2026 in Valencia on 20-23 Oct
PGConfEU Conference talk: What does the EU Cyber Resilience Act mean for PostgreSQL and its community
Wikipedia: EU Cyber Resilience Act
PGConf.dev on LinkedIn: PGConf.dev account
PGConf.dev conference talk: Committer Review: An Exercise in Paranoia, by Robert Haas
PostgreSQL.org: Committers
PostgreSQL mailing list: Postgres 19 release management team
Blog: Peter Eisentraut Blog
Blog post: Where are all the PostgreSQL users, by Peter Eisentraut
PGCA non-profit: PostgreSQL Community Association
Brett Cannon at PyCon 2014: I came for the language but I stayed for the community
Planet PostgreSQL: Blog aggregation feed
In this episode, we covered:
00:00 Intro & music
02:14 Tinkering with the Commodore 64
07:57 The itch that became psql tab completion
15:43 Had to make opportunities
23:05 From posting at night to posting during the day
24:40 Why he stopped committing in the afternoon
28:04 On the ground floor of something that grew
30:34 What the Postgres core team actually does
31:47 Borrowing ideas from other OSS projects
36:51 Bringing Postgres into the SQL standards process
38:40 Getting to hang out with database nerds
42:01 Mentoring Postgres contributors
50:56 Making time for Postgres conferences
53:35 What the Cyber Resilience Act means for Postgres
57:36 Where are all the Postgres users?
1:07:00 Becoming a committer early on in Postgres
1:16:22 Contributing to Postgres isn't just writing code
1:19:40 Why FOSDEM is still his favorite
1:22:15 Finding familiar problems in a compiler devroom
1:26:14 Shout-out to the Planet Postgres feed - What’s your gold standard for deciding whether AI-written code is ready for production? In Episode 42 of Talking Postgres, Simon Willison—creator of Datasette, co-creator of Django, and prolific open-source developer—joins Claire to share how AI is changing the way he builds software today. We dig into why his test for shipping AI-generated code is “Could I explain this to somebody else?”, how engineering management skills can be surprisingly useful when managing AI agents, and how the bottleneck is no longer writing code but understanding it. Also: personal credibility, deep research, the Winchester Mystery House, slop proxies, and Simon’s observation that “Features are cheap. That doesn’t mean you should build them all.”
Previously on Talking Postgres:
Talking Postgres podcast Ep 30: AI for data engineers with Simon Willison
Links mentioned in this episode:
Blog: Simon Willison’s Blog
Project page: Datasette, for finding stories in data
GitHub repo: sqlite-utils
Blog post: Release of alchemy-utils 0.1a0 (featuring Postgres & DuckDB)
Blog post: There are no lossless transformations of natural-language text, by Sophie Alpert
Podcast episode: The Open Weight Revolution with Simon Willison, on Oxide and Friends
Podcast episode: An AI state of the union, on Lenny’s Podcast
Wikipedia: Winchester Mystery House
Idea in Mythical Man-Month: Conceptual integrity
Blog post: SQLite compressed text-history prototypes, by Simon Willison
Tools: Simon’s miscellaneous tools repo
In this episode, we covered:
00:00 Intro & music
04:00 A week of work before breakfast
09:12 Red-green TDD makes agents exercise every line
14:42 A million lines mean nothing if you don’t understand it
18:28 Finding low-hanging fruit among open PRs & issues
22:07 Getting work done while walking the dog
23:01 Gold standard: “Could I explain this to somebody else?”
28:27 Slop proxies add no value at all
30:49 Aggressive nitpicking reviews
35:01 Everything in software engineering is about trade-offs
41:16 Racoon heist game is only fun for 1 minute 15 seconds
43:46 New Year’s resolution to be more ambitious
48:11 You have to learn to throw things away
51:57 Features are cheap. That doesn’t mean you should build them all
1:00:45 Engineering management skills are so useful
1:04:44 QA specialists should be having a great time
1:07:53 Writing is thinking, don’t outsource it
1:08:23 Skill atrophy is a choice you make
1:10:07 I believe in people who are motivated
1:11:55 Systems are not set up to deal with this volume
1:18:48 Research agents stopped being absolute garbage
1:21:49 The whole point of the “human in the loop”
1:26:10 Dream: I want there to be more small businesses Working on Postgres after 13 years on SQL Server with Panagiotis Antonopoulos
17-07-2026 | 1 u. 13 Min.What happens when a database engineer spends 13 years on SQL Server and then starts working on Postgres? In Episode 41 of Talking Postgres, Distinguished Engineer Panagiotis “Panos” Antonopoulos of Microsoft joins Claire to share what surprised him most about making that transition. We explore why Postgres felt familiar from the start—and what shocked Panos about the clean and lean Postgres codebase. We also dig into how public mailing lists and AI can help explain why design decisions were made, why more people are asking “why not Postgres?”, and the shared-storage architecture behind Azure HorizonDB.
Previously on Talking Postgres:
Talking Postgres Ep 39: From MemSQL to HorizonDB, an engineer's journey with Adam Prout
Talking Postgres Ep 38: How I went from Oracle to Postgres (with a big NoSQL detour) with Gwen Shapira
Talking Postgres Ep 40: How I got started running a Postgres user group with Jeremy Schneider
Links mentioned in this episode:
SIGMOD: ACM SIGMOD-PODS Conference 2027
CMUDB talk: HorizonDB: Co-Designing Postgres and Azure for Cloud-Native OLTP, by Adam Prout
PostgreSQL mailing list: pgsql-hackers
PostgreSQL docs: pg_stat_slru (simple least-recently-used)
Docs: Azure HorizonDB
Poster: Postgres Happiness Hints- Intensely local user groups have been part of Jeremy Schneider's story from the start—from Linux meetups at a Michigan coffee shop to a closet server running an Oracle database nobody knew anything about. In Episode 40 of Talking Postgres, Postgres engineer and Seattle Postgres User Group co-organizer Jeremy Schneider joins Claire to share how community led him to Postgres after 15 years with Oracle—and why "it's like I was born to be here." Plus: the newly-updated Postgres Happiness Hints poster, advice for starting your own user group, and his POSETTE 2026 talk on CloudNativePG.
Previously on Talking Postgres:
Talking Postgres Ep 38: How I went from Oracle to Postgres (with a big NoSQL detour) with Gwen Shapira
Links mentioned in this episode:
Seattle Postgres User Group: Meetup page
Seattle Postgres User Group: YouTube channel
User Group Map from PGConfEU 2025 talk: 48 Postgres User Groups during PG18 timeframe
PostgreSQL.org: Listing of local Postgres User Groups
Postgres Meetup For All (a virtual meetup): Meetup page
Jeremy Schneider’s Blog: Ardent Performance Computing
Poster: Postgres Happiness Hints
PGConf.dev 2026: Posters from Poster Session
PGConf.dev 2026 Poster Session: Talking Postgres poster
POSETTE: An Event for Postgres 2026: Jeremy’s POSETTE 2026 talk with Leonardo Cecchi
POSETTE 2026: Livestream 3 schedule & talks
Oracle docs: Oracle Database Concepts PDF
Book: Oracle Insights: Tales of the Oak Table - What does it take to make Postgres and Azure fit together cleanly, like puzzle pieces? In Episode 39 of Talking Postgres, Adam Prout—distinguished engineer at Microsoft and a founding architect of Azure HorizonDB—joins Claire to trace his engineering journey from MemSQL to Postgres. We dig into shared-storage architecture and how HorizonDB pushes more work into the storage layer; why the team chose Rust; and what “good systems programming” looks like when being paranoid is a feature, not a bug. Along the way: startup vs big company tradeoffs, and how working on databases exposes you to so many interesting parts of computer science.
Previously on Talking Postgres:
Talking Postgres Ep29: How I got started leading database teams with Shireesh Thota
Links mentioned in this episode:
Blog post: Announcing Azure HorizonDB, by Charles Feddersen & Affan Dar
CMUDB talk: HorizonDB: Co-Designing Postgres and Azure for Cloud-Native OLTP, by Adam Prout
Research paper: Socrates: The New SQL Server in the Cloud
Product page: Azure HorizonDB
Video of POSETTE 2025 talk: Scaling Postgres to the next level at OpenAI
Blog post: Scaling PostgreSQL to power 800 million ChatGPT users, by Bohan Zhang
Blog post: Supporting ChatGPT on PostgreSQL in Azure, by Affan Dar, Adam Prout, & Panagiotis Antonopoulos
Docs: Azure Database for PostgreSQL
GitHub repo: pgrx
Discord: PostgreSQL Hacking server
Conference: PGConf.dev 2026
Conference Schedule: PGConf.dev 2026 Schedule
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Talking Postgres is a podcast for developers who love Postgres. Guests join Claire Giordano each month to discuss the human side of PostgreSQL, databases, and open source. With amazing guests such as Boriss Mejías, Melanie Plageman, Tom Lane, Simon Willison, Robert Haas, and Andres Freund, Talking Postgres is guaranteed to get you thinking. Recorded live on Discord by the Postgres team at Microsoft, you can subscribe to our calendar to join us live on the parallel text chat (which is quite fun!): https://aka.ms/TalkingPostgres-cal
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