The reason for leaving in the password.trim() would be one of the few things that I would ever document with a comment.

What about the Nutria? Literally named like it’s food!

I used KDE Connect on Ubuntu with Gnome. No issues.

Old school Unix guy here…vi,awk and sed are all that you need.

You might want to think about it a bit more before putting it to work. The comment with the streams example is far, far better.

I think that the idea is that more Dems use mail-in ballots than Reps. Hand in hand with tactics like restricting the number of polling stations in minority neighborhoods, it’s just another component of putting their thumb on the scale.

My question is how much “likely” translates to “voted”. It seems easy to respond, “Yes”, when asked on the phone, but requires a bit more enthusiasm to actually go stand in line and cast a vote.

Agreed, but I don’t know the mindset of those people and how to think of them. Do we just take them out of the voter pool? Are they potentially swing?

My take on 2016 was that the Dems were deeply unenthusiastic about Hillary - and who can blame them - so they didn’t show up to vote. On the other hand the Reps were stoked about Trump so they turned up at the polls.

Swing voters? I don’t get it. I cannot see any rational person sitting in the middle comparing Trump and Harris and picking Trump as a better presidential option. Irrational people? My gut tells me they they are probably sitting and the far ends of either camp.

My guess is that the people closer to the middle aren’t actually swing voters, but they are far more likely to have their enthusiasm to vote influenced than the true believers.

The big question, in my opinion, is how much - or how little - the polls reflect the enthusiasm to go out and vote. My impression is that Dem enthusiasm in high right now, while not so much for the Reps. It’s possible that a 50/50 poll may hide the fact that a big chunk of one of the 50% is much less likely to actually vote.

I’m Canadian, so I see the news but I don’t have day to day experience with US voters. Of course, neither do the 90% of Americans that don’t live in those swing states.

Isn’t that true about all US elections? There are no “undecided” voters, just Dems and Reps and the result is always based on who can motivate their voters the most.

Why not? He’s an amazing speaker and he comes across as extremely thoughtful and intelligent.

It goes really well with YAGNI. Also DRY without YAGNI is a recipe for premature over-architecting.

This is also one of the main benefits of TDD. There was a really good video that I can’t find again of a demonstration of how TDD leads you to different solutions than you thought you use when you started. Because you code exclusively for one single requirement at a time, adding or changing just enough code to meet each new requirement without breaking the earlier tests. The design then evolves.

I’ve always heard of your “post-architecture” referred to as “evolutionary design”.

In a way, this question itself is very “un-agile”. Agile should be always forward-looking, “What can we do next?”, “What can we get done in this short period of time?”, “What should we do next?”.

OK, so you found a possible “defect” in your system. Is it a defect, or did someone slide in a requirements change 3 months ago?

This reminds me of playing chess. Sometimes a player will make their move when their opponent is distracted. The opponent hears, “Your turn”, and they look at the board. “Which piece did you move?”. The first player just shrugs.

The point is that you shouldn’t need to know which piece just moved. Every chess position is a “state” of its own, and your best move should depend on going forward from that state, not knowing how the board changed recently.

It’s the same thing here. You have a situation. Does it really matter how, when, who or why it happened? It shouldn’t, and here’s why:

Just because it’s a defect (if it is) doesn’t automatically mean that correcting it moves to the top of your “to do” list.

It’s going to take some non-zero amount of time to change it back to blue. And when you’re doing that, you’re not doing something else. There is always an opportunity cost to doing bug fixes and you shouldn’t treat them in an ad-hoc way. Should you be spending that time, and who gets to decide if you do? It’s not your decision. It’s the PO’s decision to make.

Maybe the PO doesn’t care about the colour. Maybe they do care, but not if it means some other feature gets delayed. Maybe it’s the most important aspect of the whole system, and there’s no way you can launch with it green. So you cancel the current Sprint and start a new one dedicated to fixing this defect! Maybe they regret asking for it to be blue, and now they’re happy that it’s now green.

If it was me, I’d get a quick T-shirt size estimate on the work required to change it back to blue, then put it in the Product Backlog to be reviewed with the PO. Maybe have a quick chat with the PO, or send a memo about it. Maybe the PO will need to check with their SME to see if anyone remembers asking for it to be changed to green. Maybe not. In any event, it either makes its way into a Sprint Backlog or it doesn’t.

Also, if you’re doing Agile right, then your clients are getting constant, hands-on, experience with your system as it is being developed. To go 100 days without some kind of “release” that they can play with and give you feedback is an anti-pattern. If you are giving them the latest version every week or two and after almost three months they haven’t noticed that the footer is green, then it’s probably not important.

On to the actual question. Jira is a potential sand trap of administrative complexity. The answer is usually to keep everything smaller. Smaller features, and smaller Sprints. Smaller teams. A team of 5 or 6, working in one week Sprints, can only do so much per Sprint. If your fundamental unit of work - a story, or a feature, or a ticket - is set to take something like 1/2 day and forms the basis of your Sprint Backlog, then each programmer on the team can do at most 10 SB items (in a perfect world). Depending on the composition of your teams, you’re probably going to have only about 3-4 programmers - which means 30-40 tickets per Sprint Backlog. And that’s a blue-sky number that’s practically impossible in a world with meetings. A team of 5 or 6 is going to complete closer to 20 Sprint Backlog items in 1 week Sprint in the real world.

The point being that 14 Sprints is your 100 days and each Sprint has about 20 easy-to-understand items in it. Whatever your management tools, it’s a failure if you can’t locate those 280 features in a matter of seconds. And it should be easy to eliminate 270 of them as not possible places where the change happened just from the description.

And when those SB items are small, as they should be, it’s not an onerous task to document inside them the requirements that they are supposed to meet.

When you have 1 month Sprints with tickets that take 2 weeks to complete, then everything becomes a nightmare. It becomes a nightmare because it’s virtually impossible to impose some kind of consistent organizational structure internally on free-form stuff that big. But it’s almost trivial to do it with tiny tickets.

And the other thing that happens with big tickets is that there’s tons of stuff that programmers do without thinking about it too much. If you’ve got two weeks to finish something, then there’s a ton of latitude to over-reach and the time estimate was just a wild guess anyways. If you have 3 hours to do something, then you’re going to make sure that what you need to do is clearly laid out - and then you have to stick to it or you won’t get done in time.

Did somebody “fix” the inconsistent footer colour while doing some huge, 2 week, ticket? Good luck finding out. But that’s not going to happen with tiny, well documented tickets.

Many, many years ago I used to have two Wyse50 terminals, running split screens each with two parts. I did a lot of support on remote systems (via modem!) and I would have a session on a customer system, source code and running on our test system and internal stuff. I didn’t have space for a third terminal.

At another job I had an office with a “U” shaped desk. I would spread printouts across half the “U” and swivel around between the computer and the printouts.

Technically, he would have three drives and only two drives of data. So he could move 1/3 of the data off each of the two drives onto the third and then start off with RAID 5 across the remaining 1/3 of each drive.

Deal with the ethernet port issue by purchasing a 5 port ethernet switch. Maybe the rest of your issues go away?

In respect to sitting above the API layer and turning DTO’s to/from Domain Object’s, I’d call them “Brokers”.

Ozric Tentacles

I looked and Python has the library support for the GPIO and to do background threading to poll pins. My preference would be to go with a JVM language like Kotlin, but then I’m a programmer. Python, from the little that I’ve mucked about with it is really just one step in complexity from scripting. Maybe even easier, because some things in shell scripts are super difficult to do.

Maybe then you need to move one stop up from scripting into something closer to actually programming. I’d be surprised if Python doesn’t have the library support on a Pi for dealing with both serial and GPIO I/O.