Happy to see an open weight model ! This has all the right ingredients for success.

We are in the same decision making stage and trying to choose between rabitMQ, Kafka, NATS and some solutions built on top of Redis.

Did NATS eventually worked well?

Excellent. We already tested at okayish scale of 5 million messages per minute, with each message being less than 1KiB. Do note that NATS can easily handle 100x this scale. It's just what we had tested during initial days.

Wow!

I have a stupid question - as I understand NATS works very well as a “message” pipe/bus. Anyway to get Redis type cache functionality as well ? Is it something possible ?

JetStream (not NATS) has a built-in key/value store. Relevant thread (old, from 2023): https://github.com/nats-io/nats.go/discussions/1507

someone did some benchmarks in 2025:

    nats bench kv put --size="128" --msgs 1000000 --storage file
    1m3s → Pub stats: 15,656 msgs/sec ~ 1.91 MB/sec
    
    nats bench kv get --size="128" --msgs 1000000
    59s → Sub stats: 16,720 msgs/sec ~ 2.04 MB/sec

I have personally not used this though.

Thank you! Jetstream looks useful. For a platform which is production our Redis costs are getting prohibitively high. I was on the look for alternatives and perhaps in the software reliability tool [0] I am buildin try out Jetstream.

[0] https://github.com/bobinson/vulture

Cool... "vulture" looks pretty good... especially more now-a-days. Thanks..

I also maintain these sites for npm related attacks (since there have been so many since past 1.5 years):

1. Techniques exploited: https://npm-supply-chain-attack-techniques.pagey.site/

2. Documented attacks: https://npm-supply-chain-attacks-25-26.pagey.site/

I’d also recommend looking at Swytch (docs.getswytch.com, particularly the economics page).

Disclosure: I’m a founder.

Not sure whether this is the right step. Rather steps must be taken to ensure reliability of the software irrespective of whether it’s “written” or “generated”. The code generation based on “rules” is not new after all.

The leader boards based on token usage happened in our org for a month. Then we managed to convince the board that what matters is the reliable software shipped. Now we are back to DORA metrics.

How to prove this is indeed the system prompt against a certain timestamp (in the past ) ?

Very useful. The whisper setup is something similar to what we have been using. The LLM setup though is outstanding.

i have the same Whisper Setup too!

This gave me shivers

Will it be accessible to anyone ?

This type of attack is going on for few years now. I had 2 in my credit.

Some details https://freebird.in/malicious-code-source-code-shared-via-jo...