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Trying out the Absurd queue for AI Workloads

Posted on December 03, 2025 in python

Testing out Absurd, an experimental durable execution system that uses only Postgres, for AI workloads with expensive LLM calls.


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Tracking AI Model Deprecations with Git Scraping: Introducing deprecations.info

Posted on August 24, 2025 in data-engineering

How I built deprecations.info using Simon Willison's git scraper pattern to track AI model shutdowns and prevent service disruptions


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When's the best time to surge when cycling up a hill?

Posted on March 21, 2025 in Physics

A simple cycling simulator that calculates the time it takes to cycle up a hill with a surge of power.


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I miss vim

Posted on January 29, 2025 in vim

A short reflection on neovim's extensibility vs simplicity tradeoff


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First steps with Rust

Posted on May 13, 2024 in Rust

Documenting my first steps with Rust, from installation to running a simple script.


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TIL: Automating Command Execution Across All Tmux Panes

Posted on June 30, 2023 in Tmux

Learn how to automate the propagation of configuration changes across all tmux panes, saving time and enhancing productivity.


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Being a good UNIX neighbour

Posted on April 29, 2023 in cli, unix

A few tips to be a good UNIX neighbour and make your scripts more portable.


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TIL: NERDTree Bookmarks

Posted on March 22, 2023 in Vim

NERDTree Bookmarks is a plugin that allows you to bookmark files and directories in NERDTree.


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The Data Bus: a helpful pattern for data engineering

Posted on December 07, 2022 in Data Engineering

The Data Bus is a pattern that can help you tidy up data flows, and helps to keep track of the preprocessing steps taken. It is a simple, language-agnostic pattern that can be used to make sense when multiple transform steps are involved.


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Benchmarks for writing pandas DataFrames to SQL Server (ODBC)

Posted on March 15, 2020 in Python, SQL, MS

In this article, we benchmark various methods to write data to MS SQL Server from pandas DataFrames to see which is the fastest. We compare multi, fast_executemany and turbodbc, and find the best candidate.


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