The Arkham Times
Articles, essays, briefings, and field notes on architecture, data platforms, digital transformation, and AI.
Engineering
There’s a particular kind of frustration engineers know well: you pick up a Jira ticket and the description reads something like “Fix the thing from the meeting.” No context. No requirements/details.
value
Why the gap between delivery and value is rarely a technical problem, and what it actually takes to close it.
Engineering
How GitHub Agentic Workflows + MCP turned my pull request reviews from context-switching nightmares into fully-loaded briefings
ML
In today’s rapidly evolving technological landscape, Machine Learning (ML) and Generative AI (GenAI) have emerged as powerful tools driving innovation and efficiency across various industries. However, leveraging these technologies effectively requires more than just implementation;
Social
Bluesky is a new social network, decentralised and allowing you to own your custom handle, let's experiment with this feature.
Machine Learning
Training ML models is only the first step, when you need to deploy and operate them at scale, you need to ask yourself what are the options to execute the inference in the most efficient way