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110 articles Visit blog β†’

1. The real AI risk is inside the labs ()

Amodei in his latest blog post wrote a mix of agreeable things and things that I believe misrepresent where the real risk of AI is located. I want to focus my attention on why, among all the risks, open weight models constitute the mildest one. I write these words as a person who strongly believes A...

2. Being Linux Torvalds ()

(This blog post was adapted from the transcription obtained from my YouTube video at https://www.youtube.com/watch?v=l6lxgYeVZqs) When Linus Torvalds developed the first Linux kernel, he had studied the Minix sources, he had studied computer architecture, he had the base knowledge needed, and he was...

4. Control the ideas, not the code ()

Look at the past history of this blog. There are many blog posts about programming with AI, a few of them date back to January 2024 (like this: https://antirez.com/news/140). I’m a relatively well regarded programmer, after all. I don’t have the need to still be in the β€œloop” as a old man that seeks...

5. A new era for software testing ()

Automatic programming dramatically speeds up writing software in certain use cases and in the right hands. In my experience the output does not reach the structural quality and economy of complexity of the best hand-written software. However, not all the software is stellar, and my feeling is that a...

6. Distributing LLM inference in DwarfStar ()

High end NVIDIA cards, and the server and power needed to run them, cost a lot of money, especially if you plan to reach enough VRAM to run massive models. The alternative, so far, has been Apple hardware, or the DGX Spark that even if severely limited because of memory bandwidth allows to run LLMs ...

7. Alternatives for the EDIT tool of LLM agents ()

EDIT: of course this was already done in the past! I had little doubts but people just confirmed me about it on Twitter :) But, keep reading: the CRC32 compromise at the end is an interesting tradeoff, and this is a good discussion to have in general. Right now I'm working to an agent for my DS4 pro...

8. A few words on DS4 ()

I didn’t expect DwarfStar 4 (https://github.com/antirez/ds4) to become so popular so fast. It is clear that there was a need for single-model integration focused local AI experience, and that a few things happened together: the release of a quasi-frontier model that is large and fast enough to chang...

9. Redis array type: short story of a long development ()

I started working on the new Array data type for Redis in the first days of January. The PR landed the repository only now, so this code was cooked for four months. I worked at the implementation kinda part time (kinda because many weeks were actually full time, sometimes to detach yourself from the...

10. AI cybersecurity is not proof of work ()

The proof of work is the wrong analogy: finding hash collisions, while exponentially harder with N, is guaranteed to find, with enough work, some S so that H(S) satisfies N, so an asymmetry of resources used will see the side with more "work ability" eventually winning. But bugs are different: 1. Di...

11. GNU and the AI reimplementations ()

Those who cannot remember the past are condemned to repeat it. A sentence that I never really liked, and what is happening with AI, about software projects reimplementations, shows all the limits of such an idea. Many people are protesting the fairness of rewriting existing projects using AI. But, a...

12. Redis patterns for coding ()

Here LLM and coding agents can find: 1. Exhaustive documentation about Redis commands and data types. 2. Patterns commonly used. 3. Configuration hints. 4. Algorithms that can be mounted using Redis commands. https://redis.antirez.com/ Some humans claim this documentation is actually useful for actu...

14. Automatic programming ()

In my YouTube channel, for some time now I started to refer to the process of writing software using AI assistance (soon to become just "the process of writing software", I believe) with the term "Automatic Programming". In case you didn't notice, automatic programming produces vastly different resu...

15. Don't fall into the anti-AI hype ()

I love writing software, line by line. It could be said that my career was a continuous effort to create software well written, minimal, where the human touch was the fundamental feature. I also hope for a society where the last are not forgotten. Moreover, I don't want AI to economically succeed, I...

16. Reflections on AI at the end of 2025 ()

* For years, despite functional evidence and scientific hints accumulating, certain AI researchers continued to claim LLMs were stochastic parrots: probabilistic machines that would: 1. NOT have any representation about the meaning of the prompt. 2. NOT have any representation about what they were g...

17. Scaling HNSWs ()

I’m taking a few weeks of pause on my HNSWs developments (now working on some other data structure, news soon). At this point, the new type I added to Redis is stable and complete enough, it’s the perfect moment to reason about what I learned about HNSWs, and turn it into a blog post. That kind of b...

18. AI is different ()

Regardless of their flaws, AI systems continue to impress with their ability to replicate certain human skills. Even if imperfect, such systems were a few years ago science fiction. It was not even clear that we were so near to create machines that could understand the human language, write programs...

19. Coding with LLMs in the summer of 2025 (an update) ()

Frontier LLMs such as Gemini 2.5 PRO, with their vast understanding of many topics and their ability to grasp thousands of lines of code in a few seconds, are able to extend and amplify the programmer capabilities. If you are able to describe problems in a clear way and, if you are able to accept th...

20. Human coders are still better than LLMs ()

This is a short story of how humans are still so much more capable of LLMs. Note that I'm not anti-AI or alike, you know it if you know me / follow me somewhere. I use LLMs routinely, like I did today, when I want to test my ideas, for code reviews, to understand if there are better approaches than ...

21. What I learned during the license switch ()

Yesterday, it was a very intense day. In Italy it was 1st of May, the workers holiday, so in the morning I went for a 4h walk in the Etna with friends Then at 6PM I was at home to release my blog post about the AGPL license switch, and I started following the comments, feedbacks, private messages, a...

22. Redis is open source again ()

Five months ago, I rejoined Redis and quickly started to talk with my colleagues about a possible switch to the AGPL license, only to discover that there was already an ongoing discussion, a very old one, too. Many people, within the company, had the feeling that the AGPL was a better pick than SSPL...

23. Reproducing Hacker News writing style fingerprinting ()

About three years ago I saw a quite curious and interesting post on Hacker News. A student, Christopher Tarry, was able to use cosine similarity against a vector of top words frequencies in comments, in order to detect similar HN accounts β€” and, sometimes, even accounts actually controlled by the sa...

24. Vector Sets are part of Redis ()

Yesterday we finally merged vector sets into Redis, here you can find the README that explains in detail what you get: https://github.com/redis/redis/blob/unstable/modules/vector-sets/README.md The goal of the new data structure is, in short, to create a new β€œSet alike” data type, similar to Sorted ...

25. AI is useless, but it is our best bet for the future ()

I used AI with success 5 minutes ago. Just five minutes ago, I was writing a piece of software and relied on AI for assistance. Yet, here I am, starting this blog post by telling you that artificial intelligence, so far, has proven somewhat useless. How can I make such a statement if AI was just so ...

26. Big LLMs weights are a piece of history ()

By multiple accounts, the web is losing pieces: every year a fraction of old web pages disappear, lost forever. We should regard the Internet Archive as one of the most valuable pieces of modern history; instead, many companies and entities make the chances of the Archive to survive, and accumulate ...

27. Reasoning models are just LLMs ()

It’s not new, but it’s accelerating. People that used to say that LLMs were a fundamentally flawed way to reach any useful reasoning and, in general, to develop any useful tool with some degree of generality, are starting to shuffle the deck, in the hope to look less wrong. They say: β€œthe progresses...

28. We are destroying software ()

We are destroying software by no longer taking complexity into account when adding features or optimizing some dimension. We are destroying software with complex build systems. We are destroying software with an absurd chain of dependencies, making everything bloated and fragile. We are destroying s...

29. From where I left ()

I’m not the kind of person that develops a strong attachment to their own work. When I decided to leave Redis, about 1620 days ago (~ 4.44 years), I never looked at the source code, commit messages, or anything related to Redis again. From time to time, when I needed Redis, I just downloaded it and ...

30. Playing audio files in a Pi Pico without a DAC ()

The Raspberry Pico is suddenly becoming my preferred chip for embedded development. It is well made, durable hardware, with a ton of features that appear designed with smartness and passion (the state machines driving the GPIOs are a killer feature!). Its main weakness, the lack of connectivity, is ...
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