I’m happy to announce that I’m now a co-maintainer of Boost.Redis, a high-level Redis client written on top of Asio, and hence sister of Boost.MySQL. I’m working with its author, Marcelo, to make it even better than what it is now (and that’s a lot to say). First of all, we’re working on improving test coverage. Boost.Redis was originally written making heavy use of asio::async_compose. If you have a JavaScript or Python background, this approach will feel natural to you, since it’s similar ...

Introduction Boost libraries typically maintain granular unit tests using Boost.Build (B2). B2 provides a run rule that makes it easy to define many independent test targets from a single source file or executable. Each test case can be listed, invoked, and reported separately, which improves developer workflow, test clarity, and CI diagnostics. However, Boost’s CMake integration has lacked this granularity. When Boost libraries are built with CMake, the typical approach is to define a sing...

AI generated code has some fun side effects. Whilst generating a lot of code and testing it using Microsoft Visual Studio I had the odd experience of giving the AI model a line of buggy code, and it forthrightly states to replace this faulty line with this new line. On close inspection both lines are identical! Ha - in the AI world this is known as a “hallucination” - amusing but not the answer I was looking for. Other odd side effects of AI generated code include having unused “#include <...

During Q2 2025, I’ve been working in the following areas: Boost.Bloom The acceptance review for Boost.Bloom took place between the 13th and 22nd of May, and the final verdict was acceptance into Boost. Arnauld Becheler did an awesome job at managing the review, which was one of the most lively and productive I remember in recent years. Incorporating the feedback from the review took me the last five weeks of this quarter, but everything’s ready for shipping with Boost 1.89 (Aug 2025): R...

Most of my work during the first quarter of this year involved experimenting with things which haven’t yet reached the state where it would be interesting to discuss them. But there was a project that at this point is reaching its finish, and thus let’s focus on it. That project is AsciiDoc-based documentation for Boost.JSON. Previously the project used a setup that was not too dissimilar to that of many Boost libraries. Doxygen collected API reference docs from Javadocs comments in the proj...