201–210 of 248 posts
Does anyone else find the article difficult to read? I was at 30% and just couldn't withstand it any more. No doubt it was created/heavily revised by LLM, but the whole thing just isn't like anything that a human writes, and definitely unlike those well-structured, interesting and engaging blog articles I have read in the past.
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Uber, founded in 2009 was finally profitable in 2023. That's a bit longer than 6 months.
Different situation. Uber's entire strategy was to "disrupt" the transportation industry by undercutting everyone, with the promise that eventually adoption (and monetization via data, advertising, etc.) would be large enough for fees not to rise so much as to push consumers and drivers into the established taxi industry. Anthropic, on the other hand, is a competitor brand in a brand-new industry, one with heavy reli…
My optimization hack is that I'm using speech recognition now with Claude Code. I can just talk to it like a person and explain the full context / history of things. Way faster than typing it all out.
So you sit in a room, talking to it? Doesn't it feel weird? I type a lot faster than I speak :D
I often work on large, complicated projects that span the whole codebase and multiple micro services. So it's often a blend of engineering, architectural, and product priorities. I can end up talking for paragraphs or multiple pages to fully explain the context. Then Claude typically has follow-up questions, things that aren't clear, or issues that I didn't catch.
Honestly, I just get sick of typing out "dissertations" every time. It's easier just to have a conversation, save it to a file, and then use that as context to start a new thread and do the work.
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So you sit in a room, talking to it? Doesn't it feel weird? I type a lot faster than I speak :D
Not only do I type faster than I speak I'm also able to edit as I go along, correcting any mistakes or things I've stumbled over and can make clearer. Half my experience of using even basic voice assistants is starting to ask for something and then going "ugh, no cancel" because I stumbled over part of a sentence and I know I'll end up with some utter nonsense in my todo list.
Even if it gets slightly garbled, I often will add a note in my context that I'm using speech recognition. Then Claude will handle the potentially garbled or unclear sections perfectly or ask follow-up questions if it's unclear.
My optimization hack is that I'm using speech recognition now with Claude Code. I can just talk to it like a person and explain the full context / history of things. Way faster than typing it all out.
I've been pretty happy with the python package hns for this [1]. You can run it from the terminal with uvx hns and it will listen until you press enter and then copy the transcription to the clipboard. It's a simple tool that does one thing well and integrates smoothly with a CLI-based workflow. [1] - https://github.com/primaprashant/hns
The copy aspect was the main value prop for the app I chose: Voice Type. You can do ctrl-v to start recording, again to stop, and it pastes it in the active text box anywhere on your computer.
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Thank you for sharing. I taught some workshops on AI-assisted development using Cursor a Windsurf for MIT students (we built an application and wrote a book) and TAed another similar for-credit course. I’ve also been teaching high schoolers how to code, and we use ChatGPT to help us understand and solve leetcode problems by breaking them down into smaller exercises. There’s also now a Harvard CS course on developing…
> ...development using Cursor a Windsurf for MIT students... Richard Stallman is rolling in his grave with this. But in all seriousness, nice work, I think this _is_ where the industry is going, hopefully we don't have to rely on using proprietary models forever though.
You can set up a FOSS toolchain to do similar work, it’s just something I haven’t spent the time on. I probably should.
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Across most anglosphere countries and tech cities - wages and salaries far outstrip what you can get for AI. AI is already objectively cheaper than human talent in rich countries. Is it as good? Yea I'd say it's better than most mid to junior engineers. Can it run entirely by itself? No, it still needs HITL.
Again, those prices aren't stable. Nobody is investing half a trillion in a tech without expecting a 10x return. And fairly sure soon those $20/month subscriptions will sell your data, shove ads everywhere AND basically only allow you to get that junior dev for 30 minutes per day or 2 days a month. And the $200/month will probably be $500-1000 with more limitations. Still cheap, but AI can't run an entire project, ca…
The first example was helping debug k8s issues, which was diagnosed as IP pool exhaustion, and Claude helped them fix it without needing a network expert But, if they had an expert in networking build it in the first place, would they have not avoided the error entirely up front?
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Much, much faster, and I’d say the code is more formal, and I’ve never had such a complete test suite. The downside is I don’t have as much of a grasp on what’s actually happening in my project, while with hand-written projects I’d know every detail.
How do you know the test suite is comprehensive if you don't have a grasp on what's happening? Not a gotcha I'm just extremely skeptical that AI is at a point to have the level of responsibility you're describing and have it turn into good code long term