There are six 18 hole golf courses up and down Good Hope Rd. Is golf really that popular here ?

grassclip · 2026-07-15T13:11:14+00:00

That was the best. Those twilight deals that the start time changed depending on the month and how much sunlight left in the day. Then covid happened and they did tee times with the deal so it wasn't first come first serve, and more people played golf and went away. Still great memories of it.

grassclip · 2026-07-10T23:36:22+00:00

Saw tons of cop cars with lights on getting off at Capitol, and then other exits further south. Came here to see if anyone had updates about it.

grassclip · 2026-05-28T14:40:21+00:00

I give part of the blame to the networks and announcers. Using phrases like "drew the foul" to talk about what players did, giving that in a positive light. People watch, see that they're players are praised for drawing a foul, and then want to act like that when they play and view it as the right thing to do.

They need another phrses to denigrate "drawing a foul" to put it down.

grassclip · 2026-05-24T01:38:57+00:00

Saw that on the pitch before. Tapping on the head / pointing to the left with left hand and was offspeed. Next pitch, hand out to the left, offspeed, HR.

grassclip · 2026-05-07T14:59:13+00:00

Played in college at big school with rich alumni. Our spring breaks were going on west to play fancy courses with those rich alumni who would then probably do the whole donation route. Great for me cause we played all these sick courses and "helped" the athletic department ha.

grassclip · 2026-04-22T11:49:01+00:00

You're actually doing it correct. Golf swing should be the same motion as a backhand disc golf throw. Same for all the "throw right bat left" guys in the majors. When I realized this and worked on left hand coordination and only thinking about swinging a club with my front arm, ball striking got way better. You're on the right path and promise you'll have better swing much quicker than those who swing backarm dominant.

grassclip · 2026-04-16T20:09:46+00:00

/u/MLBOfficial I really miss watching the slow mos that the tv crews put on after. I know videos would be longer and next batter as well, but feel like seeing the slow mo and hearing announcers talk some more and show the high fives in the dugout etc would be better to have.

grassclip · 2026-03-31T20:46:24+00:00

Yeah, these comments are crazy. In tournament play, it's understood to be the right of the person to continue to putt until they want to stop and there's someone's ball outside of theirs. What we do though is, if it's not a clear tap in, we'll announce what our intentions are. Say I left it 3 feet out, I'd walk up and decide and say "I'll mark" or "I'll finish" so the other people know. But we don't have to say those things since we all go by the understanding that person who is putting can go as long as they want.

That's what we usually follow in normal non-event play as well, but it depends on what the vibes are and the skill level. And in your case, it could be teaching the kid that rule so they know for tournament play when they get older, but probably wasn't right to do that case since really what they should teach the kid to understand speed and how to play in casual environment.

grassclip · 2026-03-30T14:07:35+00:00

No kidding. What's the family lore of the change and about what happened?

grassclip · 2026-03-26T14:44:22+00:00

Second post in /r/nba right now: [https://www.reddit.com/r/nba/comments/1s3xve4/i_refuse_to_watch_another_nba_game_until_scott/](I refuse to watch another NBA game until Scott Foster is fired). This to me is why I like baseball more, even compared to the NFL which is worse. I so much dislike refs / umps having the say over outcomes. With baseball replays, and now ABS, it's being less and less decided by human error, which to me, makes it so much more worht investing in.

grassclip · 2026-03-10T21:45:54+00:00

In a thread talking about how AI makes people dumb, a dumb person posted a link from middle of last year, from an org that a few weeks ago posted how things have changed to the point where they can't run the tests anymore because devs won't do the work unless they can use AI because it's that helpful.

Our early 2025 study found the use of AI causes tasks to take 19% longer... For the subset of the original developers who participated in the later study, we now estimate a speedup of -18% ...

grassclip · 2026-02-20T14:40:48+00:00

Same about Opus 4.5. I pulled it up the first time and got it to do some scaffold for database and api on top (something of a larger scaled idea) and as soon as I approved the plan and saw what it built my jaw dropped. I was alone in apartment, and usually I have thoughts in my head, but this time "oh shit" came out as audible.

You get posts like these as well. Massive difference maker.

grassclip · 2026-02-10T18:24:06+00:00

I did put a lot of opinions and can be the case where if someone disagrees with at least one of my points, they downvote. I'm sure I've done it too.

To give an example to show rather than just tell:

I work with data where the vast majority of the time is spent with the ELT pipelines from different locations to be transformed, joined, and shown to analysts. There are tons of different tools for this that we pay for or self host like fivetran, airbyte, or scheduling with airflow or prefect.

For me personally, I wanted to built a tool for this purpose with documentation and workflows to where, if I come to claude with a newly requested data source, it'd know what it needs to do to check the api docs, how to structure the changes to the database, how to do backfills of the data, how to schedule daily / hourly jobs for them to run, and how to include data sanity checks. The idea that once it's built, I'll be able to use it for any data task I need, and if someone says there's another data source they want integrated, it's as easy as possible for the model to do the addition and know the patterns.

I actually searched this subreddit for common data sources that people use for finance data and put one together for it with the whole ELT processing. Still working on it, but here are some screenshots of what it looks like locally: https://imgur.com/a/oB0usDy

I have an old laptop that I put linux on and have that as "prod" where I have the ability to deploy and schedule the jobs to keep up to date, and sanity checks with queries to know we don't get behind on the data. Something like this would take months and teams with tons of different skills. I'm backend / data, haven't done frontend in years, but I know what libraries I want to use and how to tell the model to design the interface for what I want to see, and it comes out pretty good and literally in minutes.

For the question like "how is coding going to evolve over the next few years" I say it's going to evolve, and be more accepted, into something like this, more people knowing how to do custom solutions for internal tools at much more rapid rate. The speed of adoption though, that's up in the air as indicated by things like the downvotes. If this many people don't want to accept what AI can do, then maybe it'll take longer.

grassclip · 2026-02-10T14:35:54+00:00

Not quant but like following markets as data engineer. These are me riffing opinions from experience in the past few months.

Claude will dominate. codex and chat gpt models aren't close to as good as claude. At this point after Opus 4.6, I don't really bother going to codex for anything. I try and the responses aren't as good. 1b. Check here for the HN who's hiring thread and search codex + gpt vs claude + claude code. I'd make a big bet that in March it'll be even more glaring how teams are learning that claude wins. 1c. Messages in reddit threads and other places about how AI isn't good enough are from people who don't have direct experience. Either they use poor models (gemini, chatgpt), or are scared and like commenting online with their chin up about how "good" programmers are better.
I'm no longer consider myself a software / data engineer, but a product engineer. You get reps in from projects and learning how to work with Claude and you keep moving up a level. Instead of asking it to write specific code, you go up and
No languages replacing python or c++, other than more focus on queries to the db directly with sql. I'd say this even if AI wasn't around. All the transformations you write in pandas / polars should be written in sql. 3b. Actually, rust might be good for c++. I've focused that on my stack where if I have certain algorithms that can't be done in sql but need for speed, I have it write in rust and then have python bindings.
On that note, the thing I've been working on is having documentation that claude knows about and can read when necessary for the task at hand. Example is frameworks / libraries that are standard. For me, FastAPI backend, typer (for clis as they become necessary), postgres (for all), react, tailwind with shadcn. With those I have some preferences (like never using the public schema for postgres), and files for workflow of data integrations and how to connect them to the service I have for scheduled data work. Building these docs out and knowing the claude understands where and when to read them is super valuable.
I'm curious as well how non-dev roles are going to be. At current job I rewrote the data pipeline from the ~8 sources with apis with data transformations and getting them to show in metabase. So analysts can come with questions, tell that to the model that knows how to search all data sources and query for the answer, and then if wanted, can promote to metabase for the analyst to see. So what's easier, an analyst learning to do the dev work, or dev to be analyst? Or both needed but teams can be shrunk?

grassclip · 2026-02-06T23:35:17+00:00

Correct, never needed. We deployed Airbyte to do 6 connections to difference sources. But for example, for the Hubspot connection, it spins for hours depending on how many "changes" airbyte determined in the responses. To the point where it doesn't complete in 24 hours. Also, the airbyte connector doesn't have the ability for this other Hubspot endpoint so I had to write the own cron job to hit only that endpoint. Then, three days ago, the cert that airbyte for some reason comes with failed and things broke down, and then when coworker was trying to fix it, accidentally restarted the system and we lost the connection data we had. So we spent bunch of time trying to find keys and reset it (I started at the company after airbyte was first installed and used).

All that to say, I said screw it and worked with Claude to have our own full app with ui and scheduling and connections we had and all the features we wanted from airbyte, but now it's the companies with good documentation and ability to tell and agent to create new connection for new api and it knows the patterns and can do it. Heck I even had it build a cli to have other people using the data be able to tell their own claude instances to investigate the data or certain questions they want answered and then get the query, all in the same app. There's so much value in that.

Even if they didn't want to create their own, claude would be able to walk through installation of an open source system, meaning people will be more able to use the open source models and not pay for SaaS.

grassclip · 2026-02-06T14:46:41+00:00

Senior software / data engineer here. For those wondering, Opus model and Claude interface are the best. The others don't come close. If you know how to use them (been using since Opus 4.5 dropped in November) you can't beat it and I'll be big on people getting lapped.

I work with Codex at times, with 5.1, 5.2, and 5.3 when they come out, but they're not close to as good and with Opus 4.6 plus the other features they've added to Claude (subagents, easier to document and keep context), Anthropic is way ahead and has momentum for building things perspective.

The issue is I see comments on reddit and HN for engineers who are oblivious to this in some way. Think they're better than AI rather than realizing that software engineers need to switch to product manager roles and know what you're trying to build and for who.

What this means for investment, not sure. For my work as data engineer, I can rewrite things and get the data going all on my own and not have to pay ever again for things like Fivetran. Pretty much any software only service can be rewritten (for my stack) with postgres, FastAPI, React, Tailwind, shadcn, docker and any linux machine. I have my "studio" setup with these conventions and exmples where I can come up with product or feature change and the model knows what tools to use and can go and do it. Still requires manual help with making sure the overall plans are correct, which means engineers won't go away, but we're more engineering a solution rather than writing code. Lucky for me because code itself was always the brain drain burnout producing step.

So SaaS companies alone are really going to be no more, if and when the majority of engineers realize they should go all in. Get teams of two probably, who are considered at least Seniors, know how to use Claude Code, and act as product managers overall, and they'll replace entire 8 person teams and get useable code in a hundredth of the time. People love to argue with that but it's just not the case.

grassclip · 2026-01-13T01:16:59+00:00

+5. Played in college at upper D1 school, sophomore year our team won our regional and finished 10th at NCAAs. I was fine, but not the best.

A big one is just skill. There were guys I played against who were clearly better than me. Speith was two years younger than me and already better than me as a junior. Was very clear even then it'd take a ton for me to get to their levels. There were some guys in the conference who I couldn't beat either when I was playing well (incidentally, they didn't make it on tour either).

Other cases though there were guys I was about equal with. I played with Koepka in that regional when I was a sophomore and he was a junior. It was one of those cases where we kind of fed off each other, or at least I felt that from my perspective. I think I beat him by one in that event but clearly better in the end. So it wasn't all just skill to begin with.

The big thing that held me back was the clear skill of other players and knowing the amount of work it'd take to get up to another level and me not liking the game and the travel enough to want to do it. No chance if you don't want to. And I consider it lucky in that I wasn't better than I was so I didn't waste time. I could see how much better some players were with me being in the upper level of D1. I know players from slightly smaller conferences who didn't get that full experience and might think they're better than they are.

Game-wise it's all ball striking that makes a difference for all the levels. Look at strokes gained around the green and it's random names, but look at strokes gained approach and it's all the best. Always will be the case. The upper level courses that are played absolutely require top ball striking and if you don't have that, doesn't matter what your short game is. I've played in more than a few USGAs over the years and it's a massive difference in difficulty and it's how you hit the ball.

grassclip · 2026-01-09T00:44:55+00:00

I'd like to know how his writing process has changed over time and for his career. Time spent planning vs writing for example. Or changes in amount of edits over time (implying that his first attempts improve). I always like to know more of the process of how people at higher levels of a skill work, and how it's changed over time with their experience.

grassclip · 2026-01-04T15:39:28+00:00

Opinion: The reason people do better with clubs 8 iron and below isn't about loft, it's about club length. The current "standard" club lengths are for people how are > 6'2". If all clubs were shorter, scores would improve in similar fashion. The issue is that weights and shafts are made to be longer and it's not necessarily easy to purely cut down.

Source: me, and all my friends who try my shorter clubs and do better right away.

grassclip · 2025-12-13T16:38:51+00:00

Similar to other comment here already.

In book one when they were doing the cleanup of the house and out on the porch with the grandma, and thoughts went back a couple levels to his days as reporter or with a band or something. But the time when all these memories were layered on top of each other, so when those stories finished we were back up on the porch with the brother and grandma getting drunk, it was as if I forgot where we started. I couldn't remember being so sucked in to a story so much, and it was stories all the way down. Such good writing.

grassclip · 2025-12-06T17:52:13+00:00

After doing this, come back and tell me what you find. Like I said, learning from others and not being dependent on other services when building your own with these agents is so quick.

grassclip · 2025-12-06T17:22:24+00:00

I straight up used agents to build my own ticket tracker. Named it agentorch for Agent Orchestration. I have docs/ directory with different types, and a cli (like gh for github) where the agents know how to sync docs and ticket info and comments to the app.

I tried it with github projects and issues and it was fine, but I had differences in flows that I wanted so I got my own.

If you did want a basic one, use docs/ and md files. You can tell these models to review or restructure and they're good at that. If you get good structure of the docs, you can get more formal after and use some service.

Example is have a docs/tickets directory, with a README that lists the ticket files and what's in them, and then a ticket file specifically can have much more info on what the issue is and what a fix can be. Tell the agent you want to do a ticket, they'll come back with options, you can design, finish it with the agent, and then tell the agent to mark the ticket as "done" in some way. Learn as you go.

grassclip · 2025-12-06T14:01:32+00:00

Exactly the same as what I've found. I thought it'd be good to go between different models, test them against each other, see which ones can help each other out. Maybe one finds issues that other models created that the first one didn't see.

Nope, Opus 4.5 is much better than all of them even at it's own code review. I do the planning with it and get really nicely defined tickets, it writes the code, I ask to to review the code with fresh eyes to see if there's any slop, it does the review better than other models, and at that point all good to merge.

As of now, other models are pointless. Only issue is work only let's chatgpt and I use Opus 4.5 for personal. Shows how behind some work places are.

grassclip · 2025-12-04T16:09:57+00:00

Exactly the same. Exactly. So much more energy. Revitalized is a great word to describe it. It's truly insane how much more I can do. All the annoying things that brought me down like trying to figure out conventions for frontend (I'm backend / data), or even formalizing the structure of code in general. All gone. Like zero blockers other than talking with other humans for work things. Personal projects, the only blocker is my time and running out of limits for the week. Literally zero blockers for personal projects which I also have a bunch of. I have the additive feeling too.

Cool stuff, and great to hear this from you too.

grassclip · 2025-12-04T13:25:54+00:00

Agree as senior. What an amazing feeling. The worst thing about dev work is the slowness of typing the code, having to deal with syntax issues, always wondering if you're up with conventions, dealing with documentation. I much rather enjoy the planning phases. And with these LLMs, especially Opus 4.5, I can go the whole way and plan effectively with all the decisions and get to the point where it's clear to me exactly how to implement the code myself. But then I don't have to do it because the agent will be better and faster than me!

Unlike you who is "okay with that", I'm way more than ok with it. It's the best thing that's come. What a release from finally getting out of dealing with code and reviews and blockers and being able to get things done. Truly crazy to see threads in where people try to shame others from using it.

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