Why are you using git tools within collocated jj repositories? I never understood that use case tbh
JJ doesn't support git LFS is a common reason.
Readit Newscharlie-83 commented on Jujutsu worktrees are convenient (2024) shaddy.dev/notes/jj-workt... · Posted by u/nvader
Looks nice but it's rejecting valid commands as incorrect. Like when it told me to search for "laugh" I ran
grep laugh *
grep laugh night-before-christmas.txt
`grep laugh *` worked for me
charlie-83 commented on Estimates are difficult for developers and product owners thorsell.io/2025/12/07/es... · Posted by u/todsacerdoti
The best hack for improving estimation is first never giving a single number.
Anyone asking for a single number, without context, doesn't know what they are doing; it's unlikely that their planning process is going to add any value.
I think they call this being "not even wrong".
Instead you should be thinking in probability distributions. When someone asks for your P90 or P50 of project completion, you know they are a serious estimator, worth your time to give a good thoughtful answer. What is the date at which you would bet 90:10 that the project is finished? What about 99:1? And 1:99? Just that frameshift alone solves a lot of problems. The numbers actually have agreed-upon meaning, there is a straightforward way to see how bad an estimate really was, etc.
At the start of a project have people give estimates for a few different percentiles, and record them. I usually do it in bits, since there is some research that humans can't handle more than about 3 bits +/- for probabilistic reasoning. That would be 1:1, 2:1, 4:1, 8:1, and their reciprocals. Revisit the recorded estimates during the project retrospective.
You can make this as much of a game as you want. If you have play-money at your company or discretionary bonuses, it can turn into a market. But most of the benefit comes from playing against yourself, and getting out of the cognitive trap imposed by single number/date estimates.
This is what I do but I don't try to make it complicated with too many numbers. "2 weeks but there's a 10% chance something bad happens and it takes longer".
I have no problem if they just hear the "2 weeks" part. If they come complaining in 3 weeks I just say "we hit that 10%".
The other important thing is to update estimates. Update people as soon as you realise you hit the 10%. Or in a better case, in a week I might be able to say it's now "1% chance of taking more than a week".
charlie-83 commented on Vanilla CSS is all you need zolkos.com/2025/12/03/van... · Posted by u/dchest
I like the idea of using vanilla CSS for my personal website but, not being a designer, making something that looks good from nothing is difficult. I've looked at some templates to get started with but they are generally a mess of a million classes I don't need
Why does everything have to be a business model?
Unless the author is insanely rich, they probably don't want to spend increasingly large amounts on hosting unless they have a way to make money back (even if it's just to break even).
charlie-83 commented on Chips for the Rest of Us engineering.nyu.edu/about... · Posted by u/hasheddan
I'm just as confused as you are, honestly. It feels like we've seen the "ASIC for everything" campaign so many times over, and yet only FPGAs and CUDA typically find adoption in the industry.
A lot of my questions went away when I got to this line though:
> He’s also fully engaged in the third leg of the “democratizing chip design” stool: education.
This is a valiant effort. Chip design is a hard world to break into, and many applications that could benefit from ASICs aren't iterating or testing on it because it sucks to do. It's a lot of work to bring that skill ceiling down, but as a programmer I could see how an LLVM-style intermediate representation layer could help designers get up-and-running faster.
Isn't HDL basically the intermediate representation you want? Plus, you can learn it with simulation or FPGA dev board which makes it reasonably accessable
charlie-83 commented on AI Is Destroying the University and Learning Itself currentaffairs.org/news/a... · Posted by u/speckx
This is simplistic and I believe wrong. People still go to university because they are passionate and want to learn things, exchange with peers, grow as a person.
Education is not just "buying" a certification to open doors. This part I'm happy to get rid off.
I completely agree with you. While I got a piece of paper at the end, I also learned lots of really useful things and met a lot of interesting people. There are still lots of passionate students that want to learn as much as they can.
But those students aren't going to be using AI to skip all the learning. The article and just about everyone in higher education right now are saying that a large number of students are doing that. So, there must be a large number of students who are primarily motivated by piece of paper (and the job opportunity it provides).
That doesn't mean that they must be completely disinterested in their subject. They might have some lectures they really like and where they do the coursework properly. However, the epidemic of AI cheating speaks to the inefficiency created by the need for the piece of paper. If someone is essentially skipping 80% of the learning with AI then the job market requiring you to have a piece of paper is causing someone to waste 80% of their time and money. They would be better served by a short course teaching them only that 20% of skills they actually want.
The social side of things isn't something I was really addressing in this context. To me, that's a bonus of university. Given the cost, it doesn't seem worth going to university primarily for a social experience (unless you live somewhere where it's free). I also really hope that AI isn't affecting these social aspects.
charlie-83 commented on AI Is Destroying the University and Learning Itself currentaffairs.org/news/a... · Posted by u/speckx
The situation in higher education at the moment does seem pretty dire. However, I do have some hope that a new system could emerge from this which would be better.
The purpose of higher education should be to learn things that will be useful to you (most likely in a career). However, the current purpose is to gain a piece of paper which will mean your job application doesn't get immediately thrown out.
People being willing to spend so much time and money on university only to deliberately avoid learning or thinking by using AI to cheat on everything suggests that the system itself is broken.
These students don't actually want to be in university but feel they have to in order to have a chance at success in the current job market. We are in a prisoner's dilemma where everyone is getting degrees just to be a more appealling applicant than the next person. You might have authored a very impressive opensource library but still not get the junior software dev job because HR never gave your CV to the hiring manager since you don't have a STEM degree and 50 other applicants did.
However, I don't really know how university's will evolve from this or what this new system will be. It seems hard to motivate a bunch of 18 year olds to actually want to learn stuff without dangling a piece of paper and exams at the end. Maybe that's just a symptom of all of the levels of education that come before university also dangling paper and exams. There were certainly parts of my degree I would have, at the time, liked to have skipped with AI but now (older and wiser) I'm very glad I couldn't.
charlie-83 commented on AI-Assisted Coding Killed My Joy of Programming meysam.io/blog/ai-assiste... · Posted by u/meysamazad
I’m including everything in that count: scripts, Python-compiled executables, development tooling, and custom software. On some days, I’ll build five or more small tools or scripts just to automate a single process. Working for a small business gives me the flexibility and freedom to explore new technologies and experiment.
Would you be willing to give an example of a typical app/tool like this that you made?
Personalised advertising is about collecting every detail about your life and using it to extract as much money as possible from you. AI advancements might be making this even more effective but it's been this way for a long time.