Other than your Git repository storing your source code, the second most valuable source of information is your commits which chronicle the evolution of your codebase. Your commits are a treasure trove of information — when well written — because they allow you to:

• Achieve Second-Order Thinking by having the long tail of thought in order make forward thinking decisions.
• Have well thought out Code Reviews. Even better, mentorship is built in by default because your code review’s Git history allows less experienced engineers have a chance to level up and learn from more experienced engineers.
• Automate the generation of release notes and versions based on your curated commit history to produce Milestones for your team, stakeholders, and customers.

I do not think it will shock anyone to learn that big tech is aggressively pushing AI products. But the extent to which they have done so might. The sheer ubiquity of AI means that we take for ground the countless ways, many invisible, that these products and features are foisted on us—and how Silicon Valley companies have systematically designed and deployed AI products onto their existing platforms in an effort to accelerate adoption.

The role of the IC (Individual Contributor) is evolving fast—and AI is accelerating the shift. As AI tools become deeply integrated into development workflows, many engineers find themselves stepping into responsibilities once reserved for engineering managers. This isn’t a hypothetical trend—it’s already happening in high-performing teams.

REST wasn’t designed for modern APIs. It was a retrospective description of how early web browsers talked to HTTP servers — formalized by Roy Fielding to finish his PhD. It explained how the Web worked in the 90s, not how your API should work in 2025.

What we do today should probably be called JOHUR instead (JSON over HTTP, URL-based Routing).

Open-source software tools continue to increase in popularity because of the multiple advantages they provide including lower upfront software and hardware costs, lower total-cost-of-ownership, lack of vendor lock-in, simpler license management and support from active communities.

In the following slides, as part of the CRN 2024 Year In Review project, we take a look at some of the most popular open-source software products that have caught our attention this year.

This article is about the neural conundrum behind the slowness of human behavior. The information throughput of a human being is about 10 bits/s. In comparison, our sensory systems gather data at bits/s. The stark contrast between these numbers remains unexplained and touches on fundamental aspects of brain function: what neural substrate sets this speed limit on the pace of our existence?

You’re likely reading this text in a browser. Press Ctrl+F (⌘+F on macOS) and search for the word "text" on this page. The browser will instantly show you how many times the word appears. Even in texts hundreds of times longer than this page, browsers can quickly find the desired substring. Today, we’ll look at the algorithms that make this possible.

I can’t get through a zoom call, a conference talk, or an afternoon scroll through LinkedIn without hearing about vectors. Do you feel like the term vector is everywhere this year? It is. Vector actually means several different things and it's confusing. Vector means AI data, GIS locations, digital graphics, and a type of query optimization, and more. The terms and uses are related, sure. They all stem from the same original concept. However their practical applications are quite different.

So “Vector” is my choice for this year’s name collision of the year.