It also lets you checkout, cherry-pick, rebase or merge work on other branches without needing to sync between the local clones.

Worktrees are great. Although I use them is a different way. I only use them to allow me to rebase or cherry pick onto branches, which require a working tree to do, without ever leaving my main branch. Basically I use them as more powerful branches then full worktrees.

Instead I just do all my work in the main branch/worktrees. When I have something I want to push to a pr I commit just that change to main. Then create a branch and work tree (I store them in .git/wt/<branch name>). Then cherry pick the commits onto that branch and push that creating a pr from it. Then go back to working on main again on top of the changes I have done. Once the pr gets merged I do a pull --rebase which drops the commits from main.

This means I don’t need to switch directories ever and let’s me work on a feature, then do a refactor (or minor bug fix), commit and push the refactor in isolation while continuing to work on the feature on top of the refactor.

a everyday joe would do

Go to work, work, go home. Wait for the end of the week/month for their next paycheck.

Most people already have more then a dollar and more then 24 hours to earn money. If schemes like that really worked then why would so many people do anything else?

BREAKING NEWS: Girl gets home safely after night out. More at 11.

Yes. They can. But they do not mix well with required checks. From githubs own documentation:

If a workflow is skipped due to path filtering, branch filtering or a commit message, then checks associated with that workflow will remain in a “Pending” state. A pull request that requires those checks to be successful will be blocked from merging.

If, however, a job within a workflow is skipped due to a conditional, it will report its status as “Success”. For more information, see Using conditions to control job execution.

So even with github actions you cannot mix a required check and path/branch or any filtering on a workflow as the jobs will hang forever and you will never be able to merge the branch in. You can do either or, but not both at once and for larger complex projects you tend to want to do both. But instead you need complex complex workflows or workflows that always start and instead do internal checks to detect if they need to actually run or not. And this is with github actions - it is worst for external CICD tooling.

Don’t think any game has the same support doom has. Doom has become a benchmark of sorts so gets ported to the strangest of places. Not normally places you would bother to port any game. It is done for the challenge of the port rather than any practical reason.

There are tonnes of games that could run in the same places as doom, many could run in far more places. But doom is complex enough to be an interesting challenge while being simple enough to run on very limited hardware. And has been open sourced while being a classic icon which makes it attractive to be a benchmark for getting to run in the weirdest of places.

If you have folderA and folderB each with their own set of tests. You don’t need folderAs tests to run with a change to folderB. Most CI/CD systems can do this easily enough with two different reports. But you cannot mark them both as required as they both wont always run. Instead you need a complicated fan out pipelines in your CICD system so you can only have one report back to GH or you need to always spawn a job for both folders and have the ones that dont need to run return successful. Neither of these is very good and becomes very complex when you are working with large monorepos.

It would be much better if the CICD system that knows which pipelines it needs to run for a given PR could tell GH about which tests are required for a particular PR and if you could configure GH to wait for that report from the CICD system. Or at the very least if the auto-merge was blocked for any failed checks and the manual merge button was only blocked on required checks.

One problem is GHs auto-merge when ready button. It will merge when there are still tests running unless they are required. It would be much better if the auto merges took into account all checks and not just required ones.

Yeah there are ways to run partial tests on modified code only. But they interact poorly with GH required checks. https://github.com/orgs/community/discussions/44490 goes into a lot more detail on similar problems people are having with GH actions - though our problem is with external CICD tools that report back to GH. Though it does look like they have updated the docs that are linked to in that discussion so maybe something has recently changed with GH actions - but I bet it still exists for external tooling.

We have a few non-required checks here and there - mostly as you need an admin to list a check as required and that can be annoying to do. And we still get code merged in occasionally that fails those checks. Hell, I have merged in code that fails the checks. Sometimes checks take a while to run, and there is this nice merge when ready button in GH. But it will gladly merge your code in once all the required checks have passed ignoring any non-required checks.

And it is such a useful button to have, especially in a large codebase with lots of developers - just merge in the code when it is ready and avoid forgetting about things for a few hours and possibly having to rebase and run all the checks again because of some minor merge conflict…

But GH required checks are just broken for large code bases as well. We don’t always want to run every check on every code change. We don’t need to run all unit tests when only a documentation has changed. But required checks are all or nothing. They need to return something or else you cannot merge at all (though this might apply to external checks more then gh actions maybe). I really wish there was a require all checks to pass and a at least one check must run. Or if external checks could tell GH when they are required or not. Either way there is a lot of room for improvement on the GH PR checks.

Yeah I don’t like this either. So many chances for a mistake, be in the wrong dir, file misspelled, something not cloned correctly or anything else not setup as you think it might be and suddenly the package manage does something you don’t expect (like try to install globally rather then in a project or vice versa).

For a lot of things I would rather have something web based than app based. I hate having to download some random app from some random company just to interact with something one time. Why do all restaurants, car parking places etc require apps rather than just having a simple site. Not everything should be native first IMO.

Cannot remember if the study was stupid or if peoples interpretations of it where. But when covered up else where you will lose a lot of heat through your head. More so then if just an arm or just a leg was exposed as with your arms and legs your body will slow down blood flow through them to try and converse your core temperature - it cannot do that with your head.

once a developer enacts an end of life plan, their legal culpability is removed What legal culpability? If you are not hosting anything then you wont be liable for anything. It is not like if you create a painting and someone defaces it with something that you become liable for that… That would be insane.

Random programming certificates are generally worthless. The course to get them might teach you a lot and be worth while, but the certificate at the end is worthless. If it is free then it does not matter too much either way, might be a good way to test yourself. But I would not rely on it to get you a job at all. For that you need other ways to prove you can do the job - typically with the ability to talk about stuff and having written some real world like application. Which a course might help you do to.

YAML is not a good format for this. But any line based or steamable format would be good enough for log data like this. Really easy to parse with any language or even directly with shell scripts. No need to even know SQL, any text processing would work fine.

CSV would be fine. The big problem with the data as presented is it is a YAML list, so needs the whole file to be read into memory and decoded before you get and values out of it. Any line based encoding would be vastly better and allow line based processing to be done. CSV, json objects encoded into a single line, some other streaming binary format. Does not make much difference overall as long as it is line based or at least streamable.

Never said it had to be a text file. There are many binary serialization formats that could be used. But is a lot of situations the overhead you save is not worth the debugging effort of working with binary data. For something like this that is likely not going to be more then a GB or so, probably much less it really does not matter that much if you use binary or text formats. This is an export format that will likely just have one batch processing layer on. This type of thing is generally easiest for more people to work with in a plain text format. If you really need efficient querying of the data then it is trivial and quick to load it into a DB of your choice rather then being stuck with sqlite.

export tracking data to analyze later on

That is essentially log data or essentially equivalent. Log data does not have to be human readable, it is just a series of events that happen over time. Most log data, even what you would think of as traditional messages from a program, is not parsed by humans manually but analyzed by code later on. It is really not that hard to slow to process log data line by line. I have done this with TB of data before which does require a lot more effort to do. A simple file like this would take seconds to process at most, even if you were not very efficient about it. I also never said it needed to be stored as text, just a simple file is enough - no need for a full database. That file could be binary if you really need it to be but text serialization would also be good enough. Most of the web world is processed via text serialization.

The biggest problem with yaml like in OP is the need to decode the whole file at once since it is a single list. Line by line processing would be a lot easier to work with. But even then if it is only a few 100 MBs loading it all in memory once and analyzing it all in memory would not take long at all - it just does not scale very well.

What is wrong with a file for this? Sounds more like a local log or debug output that a single thread in a single process would be creating. A file is fine for high volume append only data like this. The only big issue is the format of that data.

What benefit would a database bring here?