Earlier quoted context omitted.
Interesting - can you elaborate a little on what you mean by agentic search here?
Since the Claude Code docs suggest installing Ripgrep, my guess is that they mean that Claude Code often runs searches to find snippets to improve in the context. I would argue that this is still RAG. There's a common misconception (or at least I think it's a misconception) that RAG only counts if you used vector search - I like to expand the definition of RAG to include non-vector search (like Ripgrep in this case),…
Claude 3.7 Sonnet and Claude Code
691–700 of 1001 posts
Re: Claude 3.7 Sonnet and Claude Code
#692Earlier quoted context omitted.
I think an argument could be reasonably made that the app layer is the only moat. It’s more likely Anthropic eventually has to acquire Cursor to cement a position here than they out-compete it. Where, why, what brand and what product customers swipe their credit cards for matters — a lot.
Cursor has no models, they dont even have an editor its just vscode
Re: Claude 3.7 Sonnet and Claude Code
#693You can get your HN profile analyzed by it and it's pretty funny :) https://hn-wrapped.kadoa.com/ I'm using this to test the humor of new models.
> Your journey from PHP to OCaml suggests you enjoy pain, just in increasingly sophisticated forms.
> You seem to spend so much time worrying about NSA surveillance that you probably encrypt your grocery lists. The NSA agent assigned to you is bored to tears.
Hahaha these are excellent, though it really latched on to the homebrew PC stuff I was into back in 2013
Re: Claude 3.7 Sonnet and Claude Code
#694You can get your HN profile analyzed by it and it's pretty funny :) https://hn-wrapped.kadoa.com/ I'm using this to test the humor of new models.
* You've spent so much time critiquing nil values in Lua tables that you could have rewritten the entire language by now. Maybe in 2025? * Your perfect tech stack exists only in your comments - a beautiful utopia where everything is type-safe, reliable, and nobody is ever on-call. * You evaluate programming languages the way wine critics evaluate vintages: 'Ah yes, Effect-ts 2023, a sophisticated choice with notes of…
Re: Claude 3.7 Sonnet and Claude Code
#695You can get your HN profile analyzed by it and it's pretty funny :) https://hn-wrapped.kadoa.com/ I'm using this to test the humor of new models.
Looks like it's really only using the most recent comments, rather than looking at all of them across the lifetime of the account.
Re: Claude 3.7 Sonnet and Claude Code
#696Earlier quoted context omitted.
I like Aider but I've turned off auto-commit. I just can't seem to let the AI actually commit code for me. Do you regularly let Aider commit for you? How much do you review the code written by it?
I don't let it auto commit, either. I don't like committing in a broken state, and the llm breaks things plenty often.
But to each their own!
Re: Claude 3.7 Sonnet and Claude Code
#697Earlier quoted context omitted.
Serious question: What advice would you give to a Computer Science student in light of these tools?
Serious answer: learn to code. You still need to know what good code looks like to use these tools. If you go forward in your career trusting the output of LLMs without the skills to evaluate the correctness, style, functionality of that code then you will have problems. People still write low level machine code today, despite compilers having existed for 70+ (?) years. We'll always need full-stack humans who underst…
I think the best period of Software Devs will be gone in few years. Knowing how how to code and fix things will be important still but more important to be also Jack-of-Many-Trades to provide more value: know a little about SEO, have a good taste of design and be able to tweak simple design, good taste how to organise code, better soft skills and managing or educating less tech-savvy stuff.
Another option is to specialise in some currently difficult subfield: robotics, ML, CUDA, rust and try to be this elite dev with expectation would have to move to SV or any such tech hub.
Best general recommendation I would give right now (especially for someone who is not from US) to someone who is currently studying is to use that a lot of time you have right now with not much responsibility to make some product that can provide you semi-passive income on a monthly basis ($5k-$10k) to drag yourself out of this rat race. Even if you not succeed or revenue stream will run out eventually you will learn those other skills that will be more important later if wanna be employed (SEO, code & design taste, marketing, soft skills).
Because most likely this window of opportunity might be only for the next few years in similar way when the best window for Mobile Apps was first ~2 years when App Store started
Re: Claude 3.7 Sonnet and Claude Code
#698Earlier quoted context omitted.
Using up to 32k thinking tokens, Sonnet 3.7 set SOTA with a 64.9% score. 65% Sonnet 3.7, 32k thinking 64% R1+Sonnet 3.5 62% o1 high 60% Sonnet 3.7, no thinking 60% o3-mini high 57% R1 52% Sonnet 3.5
It's clear that progress is incremental at this point. At the same time Anthropic and OpenAI are bleeding money. It's unclear to me how they'll shift to making money while providing almost no enhanced value.
Re: Claude 3.7 Sonnet and Claude Code
#699I can just say that this is awesome. I just did spend 10$ and a handful of querys to init up a app idea I had in a while. The basic idea is working, it handled everything for me. From setting up the node environment. Creating the directories, files, patching the files, running code, handling errors, patching again. From time to time it fails to detect its own faults. But when I pinpoint it, it get it most of the time…
Re: Claude 3.7 Sonnet and Claude Code
#700Claude 3.7 Sonnet scored 60.4% on the aider polyglot leaderboard [0], WITHOUT USING THINKING. Tied for 3rd place with o3-mini-high. Sonnet 3.7 has the highest non-thinking score, taking that title from Sonnet 3.5. Aider 0.75.0 is out with support for 3.7 Sonnet [1]. Thinking support and thinking benchmark results coming soon. [0] https://aider.chat/docs/leaderboards/ [1] https://aider.chat/HISTORY.html#aider-v0750
Using up to 32k thinking tokens, Sonnet 3.7 set SOTA with a 64.9% score. 65% Sonnet 3.7, 32k thinking 64% R1+Sonnet 3.5 62% o1 high 60% Sonnet 3.7, no thinking 60% o3-mini high 57% R1 52% Sonnet 3.5