Tom

Even if you decide to not release it for the public and keep it to yourself, can be a political issue. The mere existence of something can create a imbalance of capabilities, e.g. people with access to the software have advantages over people with no access to it, which can be political.

In this sense, politics is a weird lens to view such abilities/actions, rather than something like socioeconomics. Granted, government policy affects peoples’ wellbeing, which can definitely affect their political views, but making the jump to “everything is political” feels like a stretch?

Having used PHP and Java extensively in my career, it’s always entertaining to read what people think about these languages.

Based on some places I used to work, upper management seemed convinced that the “idea” stage was the hardest and most important part of any project, and that the easy part is planning, gathering requirements, building, testing, changing, and maintaining custom business applications for needlessly complex and ever changing requirements.

Absolutely.

I’ve seen so many projects hindered by bad decisions around performance. Big things like shoehorning yourself into an architecture, language, or particular tool, but even small things like assuming the naive approach is unacceptably slow. If you never actually measure anything though, your assumptions are just assumptions.

Bill is a liability.

Project Panama is aimed at improving the integration with native code. Not sure when it will be “done”, but changes are coming.

Wow, that looks really nice!

I use Lua for PICO-8 stuff and it works well enough, but certain parts are just needlessly clumsy to me.

Looks like TIC-80 supports wren. Might have to give that a try sometime!

Yep, absolutely.

In another project, I had some throwaway code, where I used a naive approach that was easy to understand/validate. I assumed I would need to replace it once we made sure it was right because it would be too slow.

Turns out it wasn’t a bottleneck at all. It was my first time using Java streams with relatively large volumes of data (~10k items) and it turned out they were damn fast in this case. I probably could have optimized it to be faster, but for their simplicity and speed, I ended up using them everywhere in that project.

I’ve got so many more stories about bad optimizations. I guess I’ll pick one of those.

There was an infamous (and critical) internal application somewhere I used to work. It took in a ton of data, putting it in the database, and then running a ton of updates to populate various fields and states. It was something like,

• Put all data in x table with batch y.
• Update rows in batch y with condition a, set as type a. (just using letters as placeholders for real states)
• Update rows in batch y that haven’t been updated and have condition b, set as type b.
• Update rows in batch y that haven’t been updated and have condition c, set as type c.
• Update rows in batch y that have condition b and c and condition d, set as type d.
• (Repeat many, many times)

It was an unreadable mess. Trying to debug it was awful. Business rules encoded as a chain of sql updates are incredibly hard to reason about. Like, how did this row end up with that data??

Me and a coworker eventually inherited the mess. Once we deciphered exactly what the rules were and realized they weren’t actually that complicated, we changed the architecture to:

• Pull data row by row (instead of immediately into a database)
• Hydrate the data into a model
• Set up and work with the model based on the business rules we painstakingly reverse engineered (i.e. this row is type b because conditions x,y,z)
• Insert models to database in batches

I don’t remember the exact performance impact, but it wasn’t markedly faster or slower than the previous “fast” SQL-based approach. We found and fixed numerous bugs, and when new issues came up, issues could be fixed in hours rather than days/weeks.

A few words of caution: Don’t assume that building things with a certain tech or architecture will absolutely be “too slow”. Always favor building things in a way that can be understood. Jumping to the wrong tool “because it’s fast” is a terrible idea.

Edit: fixed formatting on Sync

This is a very strange article to me.

Do some tasks run slower today than they did in the past? Sure. Are there some that run slower without a good reason? Sure.

But the whole article just kind of complains. It never acknowledges that many things are better than they used to be. It also just glosses over the complexities and tradeoffs people have to make in the real world.

Like this:

Windows 10 takes 30 minutes to update. What could it possibly be doing for that long? That much time is enough to fully format my SSD drive, download a fresh build and install it like 5 times in a row.

I don’t know what exactly is involved in Windows updates, but it’s likely 1) a lot of data unpacking, 2) a lot of file patching, and 3) done in a way that hopefully won’t bork your system if something goes wrong.

Sure, reinstalling is probably faster, but it’s also simpler. If your doctor told you, “The cancer is likely curable. Here’s the best regimen to get you there over the next year”, it would be insane to say, “A YEAR!? I COULD MAKE A WHOLE NEW HUMAN IN A YEAR!” But I feel like the article is doing exactly that, over and over.

Which they could have done a much better job with.

It was basically just hosted SVN if I remember right, and they never added git support when it became the de facto version control system.