Pierre Zemb @PierreZ
🧑💻 Staff Engineer @clever_cloud 🤩 Distributed and Database Systems 🚀 Co-leader @finistdevs 💪 Squash player pierrezemb.fr Brest, France Joined February 2009-
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AI makes good programmers 10x better: you can easily understand and contribute to more codebases and actually make an impact. AI makes bad programmers 10x worse: you generate loads of garbage code and tests that everyone else has to understand and wade through.
📍 FinistDevs - lundi 8 juin - 18h30 - @ZenikaBrest Une première pour nous : un talk en anglais avec @brjavaman, Java Champion et fondateur de SouJava. Au programme : carrière dev, progression senior, impact, réputation, projets. Inscription : meetup.com/finistdevs/eve…
Introducing Claude Opus 4.8: it builds on Opus 4.7 with sharper judgment, more honesty about its own progress, and the ability to work independently for longer than its predecessors. Available today at the same price.
Medallion's humming... that can only mean one thing! It's time to announce The Witcher 3: Wild Hunt - Songs of the Past! ⚔️ This brand new expansion for The Witcher 3: Wild Hunt will take you to the Path with Geralt of Rivia once more. It’s being co-developed with @Fools_Theory and is coming to PC, Xbox Series X|S, and PlayStation 5 in 2027. Stay tuned for more information in late summer. ⏰
Building an AsyncIO executor for the 3DS blog.cat-girl.gay/3ds-async-part…
recommended reading. nolanlawson.com/2026/05/25/usi…
You might believe you should spend less time thinking about code because of AI. I strongly disagree! We’re watching this play out live where tons of AI generated code becomes a liability. At the end of the day, an engineer needs to be responsible / on call for code that gets shipped to production. If you don’t understand the system you’re trying to debug, you’re probably going to have a bad time. Yes, AI can help with all of this, if you set up the proper systems. You can have agents triage prod logs, look at errors, etc. You can speed up parts of the investigation, but an engineer needs to make the call. There might be serious customer or financial implications from that change. I expect the trend continue for trimming dependencies, vendoring code so you can modify it directly, preferring simpler systems with fewer abstractions, and spending waaaay more time thinking about system design and code maintenance. I’ve said this before, but it’s a great time to get familiar with CS fundamentals and some of the history behind what great software looks like. Many parts will be different in the coming years as AI progresses, but also a lot more than people realize will stay the same.
Want to know how Aurora DSQL commits transactions?
"Et si on faisait du simulation-driven development ?" avec Pierre Zemb Découvrez comment le Deterministic Simulation Testing permet de simuler, rejouer et diagnostiquer les bugs les plus complexes des systèmes distribués. #SunnyTech2026 #SimulationDrivenDevelopment
@sunbains Thought you might be interested in this
If you're interested in SSD internals and how to use them efficiently, our paper, “How to Write to SSDs,” has been accepted to VLDB and is currently on the Hacker News front page. vldb.org/pvldb/vol19/p1…
@almoggavra @eatonphil And so's the video of Will's talk on Swarm Testing! youtu.be/wzfC7Q-xNik
Our TESS telescope has released its most complete view of the starry sky yet! All those dots? They're confirmed and candidate planets! Since launching in April 2018, TESS has been scanning wide swaths of the sky to build up this mosaic. go.nasa.gov/49MK9hU
This is such a great example of theory vs practice. In theory, UUIDv4 collisions don't happen (generating one million per second, probability of seeing one collision in a year is ~10^-8). But they have been observed to happen in practice, especially in distributed systems. Why?
I say this all the time. Databases aren’t sold on golf courses anymore. How you post your measurements and benchmarks matter. These days a lot more choices are made by engineering teams not executives on the back nine after 6 beers. The audience is nerds who care.
@kellabyte Totally makes sense. Telling that story in a real, enlightening and transparent way matters.
We are back. After one year of quiet building. Introducing GENE-26.5, our first robotic brain that takes a major step toward human-level capability. For years, robotics has struggled to learn from the world’s largest and valuable data source: Humans. Solving it means rethinking the whole stack from the ground up: - A robotics-native foundation model. - A 1:1 human-like robotic hand. - A noninvasive data collection glove for motion, force, and touch. - A simulator that turns weeks of experiments into minutes. GENE-26.5 is trained across language, vision, proprioception, tactile, and action. We designed a set of tasks to test how far we can go with this new paradigm. Fully autonomous, 1x speed, one model, same weights. (Enjoy with sound on) We are approaching the endgame for robotics. And this is just a beginning.
It is too common an idea among European devs I've spoken to that there are not interesting deep tech startups in Europe. There are! I'm only beginning to track funding announcements and I see so many cool ones over there.
Stuff like this drives me crazy. Not only infra software should be consistent and correct. UIs should too! It's maybe not catastrophic in the same way as `SUM` miscounting in SQL, but it is a repeated paper cut for millions of users.
I gave a lightning talk at #BugBash 2026, sharing the stage with people whose work shaped how I think about distributed systems. Still processing that. Wrote up why the correctness decade has started, and why you trust the simulator, not Claude 👀 pierrezemb.fr/posts/bugbash-…
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