* Forgejo

Those are my favorites. Both you can self-host for your company, including CI/CD.

For tasks like pondering on something, reviewing code, etc. I use Pro, just because it feels like the right model for that.

I read it as a "hey we will make stuff more expensive, don't miss it"

TDD, OOP, Clean Code, etc are an attempt to solve very real problems. They are then applied as dogma to places where these problems are not evident. That's the issue. Of course these rules have their place, but always with a caveat and never applied over all possible places where they might fit. Very often, a better solution exists, as well.

This reduces the cycle time on issues and reduces bugs and performance regressions. If I pitched that last sentence to your boss, chances are he'd take it.

Yeah, I have a pretty good idea of how we go from code -> IR registers -> x86 registers and how the underlying hardware has more registers than that, etc.

As for SPARC and POWER, I have not yet gotten my hands on one! But as someone who writes compilers for fun I did learn about most of that, yes.

I write C# in my dayjob, and having written high-ish performance C++ and Rust for a couple years before that, and because of all the curiosity-driven projects I've done (like writing useless compilers), I did learn a lot.

This has helped me massively in my job, especially when optimizing our C# sensor data ingestion backend to process hundreds of thousands of measurements per seconds with explicit backpressure etc. it was great fun because I know what I'm doing.

I'm not trying to "uhm actually" you, but when you call yourself a software engineer, I do expect that you know some of these things after some years in the industry. The only way you wouldn't is a lack of curiosity, or because you genuinely had no idea that you CAN learn these things.

Try the Kö in Düsseldorf! Of course this is a jab at the fact that nearly every nice store there is one where you walk in, get profiled, and then are given champagne and asked to sit down before you can even look at clothes. We have this ridiculous shit, it's just localized to a couple places known for being so posh! :)

For any work with protected intellectual property, I use other providers, for the contractual guarantees, but I think it would be silly to think that OpenAI or Anthropic are not training on literally all data they get. How could you ever tell if they did? They can just claim the data was mislabelled, or ignore the accusations. If you have serious IP, use only local models.