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Jul 8, 2025 · 5 min read · So far in this series, we’ve talked about LLMs, intermediate scripts, and sandboxing execution. When I was designing the system I knew LLMs were unreliable at generating code. Moreover, I was not sure how the binding of data would have worked. I was ...
Join discussionJun 28, 2025 · 2 min read · read the first part Two years ago, answering questions wasn’t enough. I wanted an AI that could do things. But I didn’t trust it to do those things directly. Instead of treating the LLM as the system's operator, I used it as a translator: turning hum...
Join discussionJun 28, 2025 · 2 min read · Two years ago, I started exploring how LLMs could move from text completion to real-world orchestration. Actually doing things, not just talking. Way before it was trending. I built a prototype. In Go. With a custom JavaScript-like scripting language...
Join discussionJun 27, 2025 · 4 min read · After spending months figuring out how to handle datasets in a memory-efficient way, I decided to collect everything in one place. Hopefully, this will save someone else time. What Is a Dataset? If you work with Parquet files, you know each file has...
Join discussionJun 24, 2025 · 2 min read · At HUB Ocean, we work with massive volumes of geospatial marine data, with some datasets containing billions of rows. To ensure fast queries, we developed b-Square — a simple but effective mechanism to index geometries in tabular formats like Parquet...
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