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 s

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

Anthropic recently released a blog post with the description of an experiment in which the last version of Opus, the 4.6, was instructed to write a C compiler in Rust, in a “clean room” setup. The ex

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 "Aut

AI will fundamentally change programming despite personal preferences for traditional coding or concerns about economic impacts.

AI researchers now accept LLMs aren't just "stochastic parrots." Chain-of-thought reasoning improves outputs through internal search and RL.

Redis developer shares advanced insights on optimizing HNSW vector search for low-latency performance after a year of implementation work.

AI systems have rapidly achieved abilities once thought impossible, like understanding language and finding code bugs, with future progress uncertain but likely to continue.

LLMs like Gemini 2.5 PRO amplify coding by catching bugs pre-release, rapidly prototyping ideas, and enabling AI pair programming with expert-level knowledge.