gajus

Reminder to secure your npm environments.

https://gajus.com/blog/3-pnpm-settings-to-protect-yourself-f...

Just a handful of settings to save a whole lot of trouble.

A reminder to secure your npm environment:

https://gajus.com/blog/3-pnpm-settings-to-protect-yourself-f...

Congrats to the team!

We've been using it (in beta) for months now. It makes for a very enjoyable developer experience.

Funny you ask. This project started as a very different project almost five years ago. It was called roarr.io, and the primary purpose was exactly that: adhoc collecting logs from remote machines. However, I've not ported this functionality (yet).

That would require restarting your services to redirect their output. Fine for one-off scripts, but impractical when you have long-running processes and don't want to restart them every time an agent needs to read logs.

With teemux, a persistent MCP server gives multiple AI agents access to logs as needed—without interrupting your development flow.

Fair point

lowkey thought it is a genius name

tee (Unix command that splits output) + mux (multiplexer) = teemux

Will be interesting to see how this model performs in real-world creative tasks. https://creativearena.ai/

Man, we are living in the golden era of PostgreSQL.

The migration guide https://vitest.dev/guide/migration.html#vitest-4

Somewhat related to your ask https://github.com/gajus/pg-dump-parser

We use it internally to create folder-like structure representation of our database schema.

https://github.com/gajus/pg-dump-parser?tab=readme-ov-file#r...

Very handy when reviewing changes in version control, etc.

Zod is the default validator for https://github.com/gajus/slonik.

Zod alone accounts for a significant portion of the CPU time.

Surprised not to see more people ask about performance profile of v4.

Zod is great in terms of API, but a no-go in terms of performance.

We ended up writing babel plugins (https://github.com/gajus/babel-plugin-zod/) and using it along with zod-accelerator, which improves performance, but breaks in various edge-cases.

What's a relatively small dataset?

For someone that could be 1m records for others that could be 1bn records

TLDR

So, we now focus on the new NIST standards of FIPS 203 (ML-KEM), FIPS 204 (ML-DSA) and FIPS 205 (FLH-DSA).

That’s a lot longer post than I anticipated on the subject.

Just so I understand the other side of the argument: where is the purported inefficiency of keeping DST coming from?

What’s better/different/same from many tools in this space like langfuse etc

The idea of llm generating flashcards is kinda neat. Not an area I am personally exposed, but I can see use cases for this

All fair insights and learnings. Good luck with your next one

All interesting and rational points. Thanks!

What's the SQL equivalent of this?

What does free with unlimited tokens mean?

Heads up that the article is open source in case you wanted to contribute an edit.

https://github.com/gajus/gajus-com/blob/main/src/blogPosts/2...

I fixed the typo though. Thanks!

Thanks for the anecdote. I've included it in the article.

Updated the article. Thanks for the context

Thanks. Fixed

I never ran into into this situation, but I plan to update the article based on aggregated feedback. A few good suggestions have been made.

Makes sense. I am just curious about the logic behind the algorithm, more than anything else.

Out of curiosity, anyone knows why would this post be removed from the front page?

I was excited see that the post is getting engagement. I saw it in 3 position. Then checked an hour later and it is nowhere to be seen.

I am assuming this is some sort of opportunistic algorithm at play that gives a chance to a post, but removes it if it is not performing, but curious if anyone has more details.

Yikes. Well, less of fan now!