Kamal Reader

Every M&A deal has a moment where someone realizes the integration plan was missing something obvious, and that moment almost always arrives after the deal has closed, the timeline is fixed, and the budget has been spent on everything else. That something is usually email, and it is usually a disaster. This is not a … Read more

How Martin Kleppmann’s iconic book evolved for AI and cloud-native architectures Since its release in 2017, Designing Data-Intensive Applications (DDIA) has become known as the bible for anyone working on large-scale, data-driven systems. The book’s focus on fundamentals (like storage engines, replication, and partitioning) has helped it age well. Still, the world of distributed systems has evolved … Read more

In the previous post, I described the Seasons project: a time-lapse of hundreds of pictures taken from nearly the same viewpoint over the years. The hardest challenge wasn’t taking the pictures or assembling them, but aligning them. You might have noticed the nearly part about viewpoint in the above paragraph. Indeed, it’s an approximation. I’m … Read more

There is a distinct lifecycle when developers build with LLMs. Phase one is pure awe: you ask a model to write a Python script or debug an async function, and it spits out working code in seconds. Phase two is ambition: you try to move past simple chat windows and build an autonomous AI agent … Read more

After eight years of trading EUR/USD, I kept running into the same frustration: a strategy that printed money for two years would suddenly stop working — not gradually, but almost overnight. No obvious reason. Same logic, same execution, same pair. It just… stopped. The usual explanation is “the edge decayed” or “the market adapted.” But … Read more