The charitable interpretation here is obviously that the LoCs are equivalent in quality, in which case it is a very useful metric in the context that was presented. The inability to infer that should be embarrassing.
My initial experience with Opus 4.7 has been pretty bad and I'm sticking to Codex. But these results are meaningless without comparing outcome. Wether the extra token burn is bad or not depends on whether it improves some quality / task completion metric. Am I missing something?
> When creation was hard, skill was the differentiator: you had to actually be good to make something worth showing. Now the barrier is near zero, so you need reach. Reach costs money or it costs years. Probably both.
Creation has progressively been getting easier since the invention of the computer, it is not a new phenomena. This naturally pushes the boundary on what needs to be delivered in order to find paying customers. In other words, creation still is "hard" if you want to succeed.
> I launched something last week. 14 people signed up — no ads, just a couple of posts. 14 real people who didn't have to. That number is tiny and it felt like something. Then I sat down to think about what it would take to grow it and I couldn't look at that math for very long.
This applies to 90+% of founders that have ever launched something. The hard part comes from continuing to push forward when you experience this (which you will over and over). It sounds like the author expects that what was hard suddenly should be easy.
This thesis has existed since Cursor first started, and the gap between them and VSCode has only widened since then. It’s worth spending some time thinking about why that may be before having such strong conviction about their demise.
Haven't touched Tauri because of the cross platform issues. The major appeal with Electron to me is the exact control over the browser. I'm curious about Rust integration though. I'm guessing they're doing something that provides better DX over something like https://github.com/napi-rs/napi-rs?
Either you care about being correct or you don't. If you don't care then it doesn't matter whether you made it up or the AI did. If you care then you'll fact check before publishing. I don't see why this changes.
I think the incorrect premise here was that engineers always know what a good product is. :) And I say that as an engineer myself. It's fully possible that the whole team was aligned on a product idea that was bad, it happens all the time. From my experience though, if there's any company where engineers don't just mindlessly follow the PMs and have a lot of agency to set direction, it's Meta. Might differ between orgs but generally that was my experience.
That is not at all how things work at Meta. The impact of the things you deliver as an engineer has a direct effect on your performance review. For better or for worse, that also means that engineers have a ton of leverage on deciding what to work on. It's highly unlikely that the engineers working on this were laughing at it while doing so.
Don't assume that you can simply pattern match because you've been at another big company. I've been at three, meta being one of them. And they have all operated very differently.
Aider operates on your file tree / repo and edits and creates files in place. So it at least lessens the copy / paste drastically. This is a very different experience than using chatgpt or Claude on web. Still not ideal UX compared to having it in the IDE though to be clear.
Where did I say that it's AGI? I was addressing the parent's comment:
> "Reminds me of autonomous vehicles a couple of years back".
I don't think any reasonable interpretation of "autonomous vehicle" includes the ability to change a tyre. My point is that sometimes hype becomes reality. It might just take a little longer than expected.
What's your point? Is it that one shouldn't attempt to enter a market just because it's difficult? Or are you trying to educate the founders about something obvious that they likely have already spent 1000x more time thinking about than you?
Extremely unlikely. Caffeine is one of the most studied substances on earth. It's not a secret that it causes a clear physiological response. There are tons of double blind placebo studies on this.
> Caffeine is a stimulant, which means it increases activity in your brain and nervous system. It also increases the circulation of chemicals such as cortisol and adrenaline in the body.
Hi Alan. Our target audience is people that write long form content. In order for the product to provide a great user experience for that audience we feel that we need to build an opinionated editor and integrate AI in an opinionated way into that editor. It’s hard for me to see how that is a product inside GitHub or Atlassian.
Notion (and others) is undeniably an incumbent that as you say can’t be hand waved away. With that said we are already getting feedback from paying customers that feel we’re better at some things, including a snappier editing experience and a more natural way to interact with the AI portion. I also think our chat integrates in a way that sets us apart.
If you really think you are in the target audience I would encourage you to give it a chance. We’re very open to feedback and if there’s anything specific that you think other products are doing better, we want to address it.
Glad you're liking it and thank you for the feedback!
1. GPT-4 is definitely on our radar and is something that we are planning to support as an option. There are trade-offs though as it's a lot slower and as people have mentioned, a lot more expensive.
2. You can use the built-in chat the same way you would use ChatGPT. With that said I know that is not the ideal way to achieve what you're looking for. We have some ideas around features that will address this specific problem. If that is something important to you and you'd like to chat about it feel free to email me and we can talk about it: stefan AT type.ai.
I think it’s both correct and realistic to assume that most ideas won’t reach venture scale size. After all, the vast majority of startups fail. However I’d like to point out that any software product that is built is per definition a layer on top of something else and it will always start small. The key question is whether that “layer” is useful and if it can keep getting increasingly useful with time.