I've just finished reading Children of Time by Adrian Tchaikovsky, and I devoured it in just a few days. It’s one of those books that grabs your imagination from the start and doesn’t let go until the last page.

Most of the advice about ad lazyloading you find online is either outdated, oversimplified, or just plain wrong if you actually care about viewability and money. This post is based on the pain of building a real lazyloading library from scratch, testing it in production, and seeing what works (and what doesn't) with Prebid.js and modern web ads.

I finally finished Echopraxia by Peter Watts this June—a sequel (or rather companion) to my beloved Blindsight, long awaited and wildly anticipated. This is hardcore hard‑SF: dense with ideas, heavy with references, and often more rewarding to read the annotations than the book itself. And yet, that very richness is both its virtue and its vice.

One of repositories I work with uses Bazel as its build system. It leverages several Bazel rule packs as well. Such as: aspect_rules_ts, aspect_rules_js, @io_rules_docker and many others. Usually I keep all rules up to date and most updates are smooth. However, after updating rules_ts to version 3.5.2, I encountered the broken pipeline.

There are two ways to create a custom Prebid.js bidder adapter. Using "registerBidder" from bidder factory It is the recommended way and it is covered fairly well in the official docs here: How to Add a New Prebid.js Bidder Adapter. The process is straightforward and simple, so I don't see much value in repeating it here. If it fits your goals, just follow the official guide and stop reading further :) Using "registerBidAdapter" method from public api

We all love to automate things, right? So, you remember that lonely pet project of yours that you've been working on for a while now? It's too small for a proper solution like k8s to seem reasonable, but you still want to deploy it somewhere and have it running.

Linear regression is a fundamental statistical method used to study the relationship between two variables by fitting a straight line to a set of observed data points. This technique is widely used in machine learning and data analysis to make predictions and understand connections between variables.

As developers we often need to boost our creativity. And what is a better way to do so than with some quality machine art? In my quest for inspiration, I stumbled upon the fantastic tool called Midjourney. It's like a digital genie who can draw beautiful images for any of my projects or just for fun.

In the realm of artificial intelligence, two terms reign supreme now: LLM (Large Language Models) and AGI (Artificial General Intelligence). Together, they represent the bleeding edge of AI's potential to transform the digital landscape.

This technical blog post will examine a modular and efficient code designed to parse incoming text messages and generate events based on them. This flexible architecture can be easily extended for a variety of use cases.