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Quentin Pradet

@quentin.pradet.me

1.2K followers 164 following 152 posts

I like maintaining things: the Elasticsearch Python clients by day, urllib3 and trustme by night. I write about #Python, HTTP, async/await, open source and performance! he/him

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Quentin Pradet @quentin.pradet.me · 16/08/2025

Wow, that sounds nice! I immediately thought about Bluey.

Bluey screenshot where Bandit swings Bingo. The swing is hung on a tree.

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Quentin Pradet @quentin.pradet.me · 23/06/2025

Wow the packaging tries hard to convey luxury. Also European biscuits is fun. In France where this comes from the packaging is much more… playful

A box of Petit écolier biscuits, as sold in France.

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Quentin Pradet @quentin.pradet.me · 05/04/2025

I have to say seeing "momentum" and "anti-momentum" so close on my timeline was fun

Two Bluesky posts. Below antirez’s post, the Rust language announces it presence on Bluesky. The Rust post was boosted 96 times and liked 279 times.

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Quentin Pradet @quentin.pradet.me · 06/12/2024

@gergely.pragmaticengineer.com has this impressive page listing early trends he identified: blog.pragmaticengineer.com/early-trends/. Here's one more: GenAI tools are heavily subsidized (newsletter.pragmaticengineer.com/p/ide-that-s...), so we'll see more expensive subscriptions like ChatGPT Pro.

The only tool costing above $20/month is Augment Code, which charges $60/month, per developer. Assuming there’s a productivity boost from using this tool, even this lofty price tag would be a bargain.

As such, these prices feel heavily subsidized by vendors, who may be offering capabilities at a loss. Giving away GenAI functionality for free or at a low price, means vendors must fund the infrastructure powering these models from sources other than revenue.

There is a reasonable expectation that over time, the cost of generating tokens will decrease. However, right now, any engineer making heavy usage of code generation is likely getting good value for money, in terms of the compute required for code generation on larger codebases.

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Quentin Pradet @quentin.pradet.me · 30/11/2024

Trying #Python 3.13 free-threading builds with uv is as easy as specifying `--python 3.13t`. If you don't have such an interpreter available, uv will download a standalone build for you! The full list of options to install 3.13t builds is here: py-free-threading.github.io/installing_c...

$ uv run --python 3.13t python
Using CPython 3.13.0
Creating virtual environment at: .venv
Installed 4 packages in 16ms
Python 3.13.0 experimental free-threading build (main, Oct 16 2024, 08:24:33) [Clang 18.1.8 ] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>>

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