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Articole: 9
  1. In 2019 I first got into tinkering with machine learning.

  2. New tests around local LLMs

    Qwen 3.8 27B This week was interesting for local models with the open-weights release of Qwen 3.8 27B.

  3. Coding agents have agency - they can decide on their own what files they need to read in order to understand a codebase.

  4. I read many news about LLMs nowadays.

  5. As I recently was sharing my postgres experience with a coworker, I noted something weird in a query plan of my first post.

  6. Computer setup

    Editors Of course as a programmer, I use some editors.

  7. Key takeaways JSON is more efficient than JSONB when only reading data JSONB is useful for data processing, when filtering data on the database.

  8. In my previous article on aggregations on Postgres, we explored different ways of building SQL queries that join several tables.

  9. This article has a follow-up, where I fix a mistake in the subquery benchmarks and explore disk usage under production-like constraints.