I found myself refactoring a Rust crate in which I had two non-default features but at least one would need to be set in order for cargo build to function. Cargo allows a default feature set, or allows different targets to have required-features defined. My use-case is different unfortunately, I wanted slightly different semantics to support either s3 or azure features. I stopped by ##rust on libera.chat and as usually happens, got a nudge in the right direction: build.rs:

I am really excited to be officially in for AIDS/LifeCycle 2023! This will by my third year supporting the life-saving services offered by San Francisco AIDS Foundation and the Los Angeles LGBT Center by riding from SF to LA with AIDS/LifeCycle.. This past 12 months has been among the most stressful and rewarding in my adult life, so I’m doubly excited to have the support of so many friends and fmaily. In the next month I’ll continue fundraising to try to meet my goal, and would appreciate your help too!

I don’t have a lot of opinions about UEFI, but it seems that building something as critical as booting around the FAT32 filesystem is not a great idea. FAT32 is a simple but archaic filesystem which has the resiliency of a paper boat. While moving machines around in my homelab this weekend I was bit by that resiliency as halfway through booting my FreeBSD NAS it complained that it could not complete fsck operations: Invalid signature in boot block: 0000.

A very simple question in a community channel earlier this week sent me deep into reflection on software design. I started writing software as is classically understood as Object Oriented Programming (OOP), with Java, Python, Ruby, Smalltalk. Design has been mostly about creating those little boxes that encapsulate behavior and state: the object. Rust in contrast I wouldn’t describe as an object-oriented programming language, to be honest I’m not sure what we call it. It’s not functional programming and it’s not object-oriented programming as I understand it. It’s something else which is the key to why Rust is so enjoyable.

I have the dubious honor of leading a migration from an on-premise managed colocation facility into AWS. It was necessary to help the business succeed, but frankly I would rather not have needed to do it. Earlier this morning I saw a post about ‘leaving the cloud” by that attention-seeking guy who keeps trying to keynote RailsConf, I had some opinions. I was hopped up on caffeine and free office snacks, and just could not help but share my thoughts in the fediverse.

I had a lucky break in the day and was able to read this blog post which popped up in my social feed. In essence it talks about what Fly.io did to rebuild their scheduler to better match what they’re trying to accomplish. Orchestration and scheduling are topics I like to geek out on, going back many years as part of the Jenkins project. But this quote in particular caught my eye:

I recently had a good discussion with another engineering leader about the merits of coding interviews. They have long been a trusted part of the tech company interview process, but I have been mostly hiring without them over the last 5 years. Below I wanted to share some of the thoughts that I sent my colleague:

Are you an organized person? Do you understand information flow in your organization? The importance of categorization and taxonomy? You might be a good fit for Engineering Management! Having now spent a number of years in management and leadership positions, I have noticed a number of successful patterns, and unsuccessful patterns. In this post I want to focus on one of the more successful patterns: good information management.

There is an excessive number ChatGPT screenshots littering social media right now, and not nearly enough critical thinking about feeding data into this novel new chatbot. An anecdotal survey of my timeline includes people asking ChatGPT to solve math equations, write emails for them, create short story prompts, identify bugs in code, or even generate code for them. Behold, the power of AI!

The holidays are the time of year when I typically field a lot of questions from relatives about technology or the tech industry, and this year my favorite questions were around AI. (insert your own scary music) Machine-learning (ML) or Artificial Intelligence (AI) are being widely deployed and I have some Problems™ with that. Machine learning is not necessarily a new domain, the practices commonly accepted as “ML” have been used for quite a while to support search and recommendations use-cases. In fact, my day job includes supporting data scientists and those who are actively creating models and deploying them to production. However, many of my relatives outside of the tech industry believe that “AI” is going to replace people, their jobs, and/or run the future. I genuinely hope AI/ML comes nowhere close to this future imagined by members of my family.