Software Architect • Microsoft MVP • Clean Code Advocate
Helping other software professionals to keep improving!
In 2026 we can all agree that AI and agentic development are certainly exciting topics which many see yielding great productivity gains. But as the investor-subsidized pricing of these services gives way to realistic and profitable business models, where will the real costs land?
As many businesses downsize staff or pause hiring to see how these new models and tools actually perform in the real world, the trillion dollar question is:
I recently became aware of Asciinema when I saw that the Aspire docs are using it to document installing their CLI. As someone who creates a lot of content (or used to, anyway) and docs, this seems like a really useful tool! But it doesn’t “just work” on Windows, so I figured I’d document how to get it working on Windows for future me.
There are basically two parts to Asciinema:
Today’s LLMs have already ingested basically all of the publicly available information they can to build their models. In order to improve further, they’re going to need to seek out additional sources of information. One obvious such source is the countless interactions they have with their users, and while privacy concerns are certainly relevant here, for the purposes of this article I want to focus on another issue: quality signals. How will these LLMs know whether a given exchange led to a solution (defined however the user would define it)? Without this knowledge, there’s no way for LLMs to give more weight to answers that ultimately were fruitful over answers that were useless but the user gave up and ended the session.
Better late than never, as I’m writing this in early February 2026…
First, here are a few links to past years in review:
Now on to the various categories…
By a devoted advocate for individual choice
In a nation that prizes personal responsibility, it’s time to ask whether a single, taxpayer-funded fire department model still serves us best. A market of competing fire protection providers would let every household choose the coverage, response times, and perks that match their unique risk profile and budget. What’s more, it would allow individuals and households to prioritize how they want to spend their money, rather than leaving it up to big government and its known inefficiencies. Let the invisible hand of the market sort out which fire departments offer the best value for their rates, and which properties people find worth protecting with fire extinguishing services.