Earlier quoted context omitted.
It is API billing like AWS - you pay for what you use. Every time you exit a session we print the cost, and in the middle of a session you can do /cost to see your cost so far that session! You can track costs in a few ways and set spend limits to avoid surprises: https://docs.anthropic.com/en/docs/agents-and-tools/claude-c...
Which is theoretically great, but if anyone can get an Aussie credit card to work, please let me know.
Claude 3.7 Sonnet and Claude Code
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Re: Claude 3.7 Sonnet and Claude Code
#932Earlier quoted context omitted.
Time to look up TDD, my friend.
Time to actually read Test-Driven Development By Example, my friend. Or if you can't stomach reading a whole book, read this: https://tidyfirst.substack.com/p/canon-tdd TL;DR - If you're writing more than one failing test at a time, you are not doing Test-Driven Development.
Re: Claude 3.7 Sonnet and Claude Code
#933Very good, Code is extremely nice but as others have said, if you let it go on its own it burns through your money pretty fast. I've made it build a web scraper from scratch, figuring out the "API" of a website using a project from github in another language to get some hints, and while in the end everything was working, I've seen 100k+ tokens being sent too frequently for apparently simple requests, something feels…
It probably makes sense to continue using third party tools such as aider, for now. Anthropic doesn't have a lot of incentives to reduce token usage.
Re: Claude 3.7 Sonnet and Claude Code
#934Re: Claude 3.7 Sonnet and Claude Code
#935Earlier quoted context omitted.
My guess is that, yes, the software development job market is being massively disrupted, but there are things you can do to come out on top: * Learn more of the entire stack, especially the backend, and devops. * Embrace the increased productivity on offer to ship more products, solo projects, etc * Be highly selective as far as possible in how you spend your productive time: being uber-effective can mean thinking an…
> Learn more of the entire stack, especially the backend, and devops. I actually wonder about this. Is it better to gain some relatively mediocre experience at lots of things? AI seems to be pretty good at lots of things. Or would it be better to develop deep expertise in a few things? Areas where even smart AI with reasoning still can get tripped up. Trying to broaden your base of expertise seems like it’s always a…
Re: Claude 3.7 Sonnet and Claude Code
#936Earlier quoted context omitted.
So it’s an order of magnitude more effective?
Perhaps a magnitude more effective than copy/paste, perhaps not. But do I get more than $300/month of value from it, per developer? Almost certainly. The bottleneck was already checking the work for correctness and building my own trust / familiarity with new code. So it's made that problem slightly more pronounced, as it generates more code faster, with more surface area to debug when many new changes arrive at once…
Re: Claude 3.7 Sonnet and Claude Code
#937Earlier quoted context omitted.
You could move the sanitation to the front end securely, it would just need to be right before render (after fetching the data to the browser). Some UI libraries do this automatically (like React) and the dompurify can run in the browser for this task. It could have done a better job outlining how to do it properly
GP was talking about input sanitization, not output
> An alternative approach is to store the raw markdown content and handle rendering and sanitization in the browser:
Re: Claude 3.7 Sonnet and Claude Code
#938Re: Claude 3.7 Sonnet and Claude Code
#939Earlier quoted context omitted.
Yudkowsky just mentioned that even if LLM progress stopped right here, right now, there are enough fundamental economic changes to provide us a really weird decade. Even with no moat, if the labs are in any way placed to capture a little of the value they've created, they could make high multiples of their investors' money.
Like what economic changes? You can make a case people are 10% more productive in very specific fields (programming, perhaps consultancy etc). That's not really an earthquake, the internet/web was probably way more significant.
Think of having a secretary, or ten. These secretaries are not as good as an average human at most tasks, but they're good enough for tasks that are easy to double check. You can give them an immense amount of drudgery that would burn out a human.