I'm actually looking forward to a bigger library on Netflix. Happy to pay a few more dollars per month for Netflix instead of managing ephemeral subscriptions to various streaming services.
True for now because models are mainly used to implement features / build small MVPs, which they’re quite good at.
The next step would be to have a model running continuously on a project with inputs from monitoring services, test coverage, product analytics, etc. Such an agent, powered by a sufficient model, could be considered an effective software engineer.
We’re not there today, but it doesn’t seem that far off.
> We’re not there today, but it doesn’t seem that far off.
What time frame counts as "not that far off" to you?
If you tried to bet me that the market for talented software engineers would collapse within the next 10 years, I'd take it no question. 25 years, I think my odds are still better than yours. 50 years, I might not take the bet.
If the niche SaaS product never required a talented engineer in the first place, I'd be inclined to agree with you. But even a niche SaaS product requires a decent amount of engineering skill to maintain well.
I've played around with agent only code bases (where I don't code at all), and had an agent hooked up to server logs, which would create an issue when it encounters errors, and then an agent would fix the tickets, push to prod and check deployment statuses etc. Worked good enough to see that this could easily become the future. (I also had it claude/codex code that whole setup)
Just for semantic nitpicking, I've zero shot heaps of small "software" projects that I use then throw away. Doesn't count as a SAAS product but I would still call it software.
> The next step would be to have a model running continuously on a project with inputs from monitoring services, test coverage, product analytics, etc. Such an agent, powered by a sufficient model, could be considered an effective software engineer.
Building an automated system that determines if a system is correct (whatever that means) is harder to build than the coding agents themselves.
I agree that tooling is maturing towards that end.
I wonder if that same non-technical person that built the MVP with GenAI and requires a (human) technical assistance today, will need it tomorrow as well. Will the tooling be mature enough and lower the barrier enough for anyone to have a complete understanding about software engineering (monitoring services, test coverage, product analytics)?
An operating system UI solves a specific problem: presenting all of your files and applications in a GUI that's flexible enough to support a wide range of fundamental activities.
A company landing page basically has two jobs: (1) sell the product and (2) let existing users access the product.
Applying the OS UI to a company landing page applies the wrong tool to the wrong problem.
The author writes:
> You can multitask, open a few articles simultaneously, and move them around as you please.
> You can be reading the latest newsletter from Product for Engineers while watching a demo video in the corner and also playing Hedgehog Mode, the game.
My browser has tabs – I can open multiple blog posts and read them separately. I don't want to read them while playing a random novelty video game on a SaaS company website.
I commend the author of this website because it is cool and well-designed, but this is not an effective product.
The caveat to this is that the design is thought-provoking. So maybe Posthog gets some buzz and leads because of the discussion among technical people about its new website.
The 69.1 column has the same height as the 30.8 column. My guess is they just duplicated the 30.8 column and forgot to adjust the height to the number, which passed a cursory check because it was simply lower than the new model.
This doesn't explain the 50.0 column height though.
Eyeballing it, that bar looks to be around 15% in height. Typing "50" instead of "15" is a plausible typo. Albeit, one you might expect from a high-schooler giving a class presentation, not in a flagship launch by one of the most hyped startups in history.
Just remember, everyone involved with these presentations is getting a guaranteed $1.5 million bonus. Then cry a little.
Yep. It sounds more like a dictation error as “fifteen” and “fifty” sound similar. No idea why this should matter in the slide production process though.
> The 69.1 column has the same height as the 30.8 column. My guess is they just duplicated the 30.8 column and forgot to adjust the height to the number
Why, unless specifically for the purpose of making it possible to do inaccurate and misleading inconsistencies off this type, would you make charts for a professional presentation by a mechanism that involved separately manually creating the bars and the labels in the first place? I mean, maybe, if you were doing something artistic with the style that wasn't supported in charting software you might, but these are the most basic generic bar charts except for the inconsistencies.
If you default on your Klarna loan, you could pay them back in support hours:
> The pilot has started small, with two of the new breed of customer-service agents live now, but the ambition is to tap into candidates such as students or rural populations. “We also know there are tons of Klarna users that are very passionate about our company and would enjoy working for us,” he added.
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