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In 2019 I first got into tinkering with machine learning.
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Qwen 3.8 27B This week was interesting for local models with the open-weights release of Qwen 3.8 27B.
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Coding agents have agency - they can decide on their own what files they need to read in order to understand a codebase.
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I read many news about LLMs nowadays.
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As I recently was sharing my postgres experience with a coworker, I noted something weird in a query plan of my first post.
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Editors Of course as a programmer, I use some editors.
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Key takeaways JSON is more efficient than JSONB when only reading data JSONB is useful for data processing, when filtering data on the database.
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In my previous article on aggregations on Postgres, we explored different ways of building SQL queries that join several tables.
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This article has a follow-up, where I fix a mistake in the subquery benchmarks and explore disk usage under production-like constraints.