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They sort of address this in the next sentence: "But if people run into problems, they can make a complaint and it will be looked into."

Random checks and whistleblowing are used in other, more "serious" processes, e.g., tax checks. At least here in Europe.


> "Others, we found, were inflating numbers and trying to show their company is growing, even if it's not."

Sounds like a fraud against investors? That could be a way to attack this problem because in the U.S., many issues get turned into laws and regulations protecting shareholders.


> In a monorepo, just loading the project consumes ~20k tokens

I don't work on a monorepo, and as an example, what I would consider a mid-size service in my mid-size company is 7M tokens.

I can't but ask: do all people who are so enthusiastic about AI for coding only work on trivial projects?


I'm pretty enthusiastic about LLMs and use them on my 8 year old codebase with ~500kloc. I work at a hedge fund and can trace most of my work to dollars.


I dunno if I’d fall myself “enthusiastic” but I successfully use AI on a large production monorepo. The onus is on the user to break down the problem into llm-sized bites. How to do this effectively is a skill that takes time to develop. You’re not crazy: if you go in and ask it to do things in broad strokes it won’t work.


I'm quite sure "loading the project" isn't putting every single line of code into the context. Probably just a huge CLAUDE.md or something.

Either that or this author is completely out of touch with reality.


should have been clearer here. by "loading the project" I meant the initial context claude builds like CLAUDE.md, directory structure, etc... not literally putting every line of code into context. 7M tokens would obviously not fit in a 200k window


I’m not clear what “just loading the project” even means here - if that’s how many tokens are consumed by system prompt plus Claude.md and MCP tools well that has nothing to do with the size of the project


I think the agent mode stuff only works well on trivial projects. But the top tier models can be very productive with carefully constructed prompts and manually curated contexts for large mono repos.


You obviously don't have any idea how any of this actually works.


What do you think "loading the project" means when discussing context?


I've thought these frozen and snowed trees are common in all mountains.


Yes they are, you just need brutal enough weather with strong winds and can see this few times a year


Exactly. You might also enjoy Bret Devereaux' recent series of how life was really like for pre-modern peasants. Also includes parts focusing on women in particular. https://acoup.blog/2025/07/11/collections-life-work-death-an...


That series of blog posts is incredible, as is all his work. One thing that stuck with me is that while our deep evolutionary past is very important, the majority of humans who have lived have been peasants in an agrarian society


That stuck with me too.

The modal human experience was a farmer, far and away. Not the mean, not the median, but the mode. We have the numbers to easily back it up.


His blog posts are very high quality. It seems however that the average reader ignores his prolific disclaimers about how his work doesn't necessarily generalize and attempting to do so is fraught with peril and attempting to do so any later than the early modern period is laughable.


Came here to post the same resource and to point out that based on it it rarely was a "two person's job" only.


This is the first post in a series discussing the basic contours of life – birth, marriage, labor, subsistence, death – of pre-modern peasants and their families. Prior to the industrial revolution, peasant farmers of varying types made up the overwhelming majority of people in settled societies (the sort with cities and writing).


Drifted to the Caribbean.


Except that more often than not, Claude is blocked from reading the article.

This used to work great two years ago when chatgpt first got the Web browsing feature. Nowadays, no eyeballs on ads: no content.


Is one of the reasons OpenAI made a browser (Atlas) and Perplexity made Comet and Anthropic made a Chrome extension to make it impossible for the site to tell whether a person or the person's AI assistant is making the request?


It refused to read this complaint about Grok because of the NSFW topic

"The irony is they trained their model on so much porn even barely NSFW prompts get flagged because Grok the Goon Commander thinks a simple fully-clothed lapdance requires a visible massive dong being thrusted up her piehole."

https://old.reddit.com/r/grok/comments/1ofd6xm/the_irony_is_...


Claude Code running on your machine can switch to "curl" or even Playwright if it needs to.


There's a free book on this topic: The Architecture of Open Source Applications

https://aosabook.org/en/index.html

Maybe that would be a good start. You can then pick a project to dive in.

As a more specific tip, I've done some hacks in Nginx long time ago and found it quite nice.


FWIW I have the €20 Pro plan and exchange maybe 20 messages with Opus (with thinking) every day, including one weeks-long conversation. Plus a few dozen Sonnet tasks and occasionally light weight CC.

I'm not a programmer, though - engineering manager.


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