From: Steve Jobs. "Great idea, thank you." (blog.hayman.net)
689 points by mattl 7h ago 193 comments
Podfox: First Container-Aware Browser (val.packett.cool)
26 points by pierremenard 3h ago 3 comments
How the US Built 5k Ships in WWII (construction-physics.com)
51 points by rbanffy 5h ago 25 comments
A flat pricing subscription for Claude Code
90 namukang 78 5/8/2025, 9:12:32 PM support.anthropic.com ↗
However, as long as Microsoft is offering copilot at (presumably subsidized) $10/mo, I'm not interested in paying 10x as much and still having limits. It would have to be 10x as useful, and I doubt that.
In contrast - I’m not interested in using cheaper, less-than, services for my livelihood.
I'm curious, what was the return? What did you do with the 1k?
(updated for better example)
i use it for very targeted operations where it saves me several roundtrips to code examples and documentation and stack overflow, not spamming it for every task i need to do, i spend about $1/day of focused feature development, and it feels like it saves me about 50% as many hours as i spend coding while using it.
AI coding saves me a lot of time writing high-quality code, as it takes care of the boilerplate and documentation/API lookups, while I still review every line, and vibe coding lets me quickly do small stuff I couldn't do before (e.g. write a whole app in React Native), but gets really brittle after a certain (small) codebase size.
I'm interested to hear whether Claude Code writes less brittle code, or how you use it/what your experience with it is.
This might mean the $10/month is the best. Depends entirely on how it works for you.
(Caps obviously impact the total benefit so I agree there.)
Just to give you one example - last BigCo I worked for had a schematic for new projects which resulted in... 2k EUR per month cloud cost for serving a single static html file.
At one point someone up top decided that kubes is the way to go and scrambled an impromptu schematic for new projects which could be simply described as a continental class dreadnought of a kubernetes cluster on AWS.
And it was signed off, and later followed like a scripture.
Couple stories lower we're having hard time arguing for 50 EUR budget for a weekly beer for the team, but the company is A fine with paying 2K EUR for a landing page.
Basically anything that isnt gpt4o is premium, and I find gpt4o near useless compared to Claude and Gemini in copilot.
It's a hit and miss IMO.
I like it for C#/dotnet but completely useless for the rest of the stuff I do (mostly web frontend).
I'm not sure about my usage but if I hit those premium limits I'm probably going to cancel Copilot.
They're good about telling you how full your context is, and you can use /compact to shrink it down to the essentials.
But for those of us who aren't Mr. MoneyBags like you all, keeping an eye on context size is key to keeping costs low.
You can try it for cheap with the normal pay-as-you-go way.
Limits are a given on any plan. It would be too easy for a vibe coder to hammer away 8 hours a day for 20 days a week if there was nothing stopping them.
The real question is whether this is a better value than pay as you go for some people.
Your vibe coders are on a different dimension than mine.
https://gist.github.com/rachtsingh/e3d2e2b495d631b736d24b56e...
Is it correct? Sort of; I don't trust the duration benchmark because benchmarking is hard, but the size should be approximately right. It gave me a pretty clear answer to the question I had and did it quickly. I could have done it myself but it would have taken me longer to type it out.
I don't use it in large codebases (all agentic tools for me choke quickly), but part of our skillset is taking large problems and breaking them into smaller testable ones, and I give that to the agents. It's not frequent (~1/wk).
You have to puppeteer it and build a meta context/tasking management system. I spend a lot of time setting Claude code up for success. I usually start with Gemini for creating context, development plans, and project tasking outlines (I can feed large portions of codebase to Gemini and rely on its strategy). I’ve even put entire library docsites in my repos for Claude code to use - but today they announced web search.
They also have todos built in which make the above even more powerful.
The end result is insane productivity - I think the only metric I have is something like 15-20k lines of code for a recent distributed processing system from scratch over 5 days.
> I spend a lot of time setting Claude code up for success.
Normally I wouldn't post this because it's not constructive, but this piece stuck out to me and had me wondering if it's worth the trade-off. Not to mention programmers have spent decades fighting against LoC as a metric, so let's not start using it now!
I daily drive cursor and I have rules to limit comments. I get comments on complex lines and that’s it.
I don't think I've ever done this or worked with anyone who had this type of output.
A lot of people seem to have these magic incantations that somehow make LLMs work really well, at the level marketing and investor hype says they do. However, I rarely see that in the real world. I'm not saying this is true for you, but absent vaguely replicable examples that aren't just basic webshit, I find it super hard to believe they're actually this capable.
If you don't like what it suggests, undo the changes, tweak your prompt and start over. Don't chat with it to fix problems. It gets confused.
Do people really get that much value from these tools?
I use Github's Copilot for $10 and I'm somewhat happy for what I get... but paying 10x or 20x that just seems insane.
median salary for a japanese dev is ~$60k. same range for europe (swiss at ~100k, italy at ~30k for the extremes). then you go down.
Russia ~$37,000 Brazil ~$31,500 Nigeria ~$6,000 Morocco ~$11,800 Indonesia ~$13,500 and india ~$30k usd
(asked chatgpt for these numbers down there, JP and EU numbers are mostly correct though as I have first hand experience).
I imagine a lot of people saw $20k/mo and thought the salary clearly had to be $200k+.
Also the world is much bigger than the US.
Tons of software developer jobs in the US for non-FAANG tier or unicorn startup companies are >$100k and easily hit $120-150k.
Also the fourth quintile mean was like $120k in the US in 2022. So you'd be in the top 30% of earners making that kind of money, not the top 10%.
https://taxpolicycenter.org/statistics/household-income-quin...
What worked for me was coming up with an extremely opinionated way to develop an application and then generating instructions (mini milestones) by combining it with the requirements.
These instructions end up being very explicit in the sequence of things it should do (write the tests first), how the code should be written and where to place it etc. So the output ended up being very similar regardless of the coding agent being used.
In the codebase I've tried modularity via monorepo, or faux microservices with local apis, monoliths filled with hooks and all the other centralized tricks in the book. Down to the very very simple. Whatever I could do to bring down the context window needed.
Eventually.....your return diminish. And any time you saved is gone.
And by the time you've burned up a context window and you're ready to get out. Now you're expeciting it to output a concise artifact to carry you to the next chat so you don't have to spend more context getting that thread up to speed.
Inevitably the context window and the LLMs eagerness to touch shit that it's not supposed (the likelihood of which increases with context) always gets in the way.
Anything with any kind of complexity ends up in a game of too much bloat or the LLM removing pieces that kill other pieces that it wasn't aware about.
/VENT
Using Gemini 2.5 for generating instructions
This is the guide I use
https://github.com/bluedevilx/ai-driven-development/blob/mai...
[1] https://www.youtube.com/live/khr-cIc7zjc?si=oI9Fj33JBeDlQEYG
It would be cheaper to your company to literally pay your salary while you do nothing.
A year has 2000 working hours, which is 24000 5-minute intervals. That means the company spending at least $240,000 on the Claude API (conservatively). So they would be better off having $100-200k you do nothing and hiring someone competent for that $240k.
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It still double downs on non working solutions
Whether it turns out to be cheaper depends on your usage.
I thought Claude Code was absurdly expensive and not at all more capable than something like chatgpt combined with copilot.
So maybe Anthropic setting this precedent will solve my problem!
ps - catchup for social zoom beers?
i pinged what i think is the right ghuntley on linkedin, rizzler looks like the next feature i'm building for brokk :)
https://news.ycombinator.com/newsguidelines.html