ej88

6 ms·

31.
by ej88 6mo ago
> A business leader can though. If a 'business leader' is prompting out software through their agents, ensuring it works, maintaining it, and taking accountability... they're also a software engineer These titles are mostl
32.
by ej88 6mo ago
It's not about whether they make mistakes (they do! although the exact definition of a mistake is nuanced), but whether they can take accountability if the software fails and millions are lost or people die. A large part of the premium
33.
by ej88 6mo ago
I am personally of the opinion that ML will end up being 'normal technology', albeit incredibly transformative. I think you can combine 'Incanters' and 'Process Engineers' into one - 'Users'. Jobs tha
34.
by ej88 6mo ago
They do, in the paper they mention they evaluate the LLM without tools
35.
by ej88 6mo ago
ai skeptic fanfic evolves in fascinating ways every day
36.
by ej88 7mo ago
huh? this is completely inaccurate
37.
by ej88 7mo ago
Im starting to believe that the biggest moats will be in the application layer, and that people are starting to realize traditional saas moats apply to those companies too network effects, distribution, proprietary data, systems of record c
38.
by ej88 7mo ago
yes am close with a few employees there
39.
by ej88 7mo ago
1. on prem 2. extremely strict data controls, if one of palantirs big customers found out data got leaked people are going to prison
40.
by ej88 7mo ago
assuming no asi, the market value of thinking without accountability trends to zero, the bottleneck will be thinking + accountability, at least for knowledge work if ai truly solves novel thinking then nothing is a barrier. the physical wor
41.
by ej88 7mo ago
there doesnt seem to be a limit in terms of the ceiling of what companies can do with software, probably the most elastic demand out of any industry ever the swe role is going to change but problem solving systems thinkers with initiative w
42.
by ej88 7mo ago
I feel like this article doesn't really contribute much to the discourse and is somewhat spoiled by the author's biases. I think the point about lacking precise language to describe LLMs is reasonable, then the author follows it u
43.
by ej88 7mo ago
the role of a 'developer' is ever-shifting, even now a lot of swe roles expect a good amount of product or customer-facing skills
44.
by ej88 7mo ago
its the opposite, majority of users prefer to get support via chat or phone navigating ux is still difficult in 2026 the average hn user is leagues above what the average customer or even smb knows about tech and ux, just not realistic for
45.
by ej88 7mo ago
most support volume comes through voice, and you need a layer to interpret what the customer intent is additionally for many use cases it's not feasible from an eng standpoint to expose a separate api for each entire workflow, instead
46.
by ej88 7mo ago
the majority of everyday customers have never heard of an API and prefer to call in via phone in that medium, llms are so much better than old phonetrees and waiting on hold
47.
by ej88 7mo ago
either way, it's clear they didn't build enough
48.
by ej88 7mo ago
Accounting for inflation, rents barely moved from 2022-2024 in D.C.: https://ipropertymanagement.com/research/average-rent-by-yea... I suspect most of the rent increase is due to inflation (sticker price). Nonetheless
49.
by ej88 7mo ago
This is exactly why customer service is ripe to be decimated by AI agents that can actually interact with systems
50.
by ej88 7mo ago
ed finally coming around to the coding use case, and even then he believes they're mostly used for summarizing and searching we are so early
51.
by ej88 7mo ago
Thanks Max! This was a really interesting article and closely matches my own experience with how the agents have been progressing one of the takeaways I get when reading skilled engineers' experiences with these tools is that they esse
52.
by ej88 7mo ago
The only reason why have an ad budget is because buying ads was effective. If they were no longer effective there would be no ad budget
53.
by ej88 8mo ago
i guess it depends on what you define as bad and what that threshold is https://trueup.io/job-trend this tracker shows continuous improvement since 2023
54.
by ej88 8mo ago
is there any data about the overall job market on whether it's been good or bad? genuinely curious the most recent data point shows a rebound https://www.citadelsecurities.com/news-and-insights/2026-glo... and fwi
55.
by ej88 8mo ago
i feel similarly. suppose ai makes people more productive: 1. companies that are not doing well (slow growth, losing to competition etc) or are in a monopoly and are under pressure to save in the short term are going to use the added produc
56.
by ej88 8mo ago
obviously he's going to posture his company as growing and doing well, but clearly not enough for the board and shareholders given their headcount growth from zirp some companies are in the position to go for moonshots and block hasn&#
57.
by ej88 8mo ago
trimodal swe compensation (elite, big tech, everyone else) extends to the job markets too
58.
by ej88 8mo ago
> write an article dismissing ai > usage is copy pasting code back and forth with gemini the jokes write themselves
59.
by ej88 8mo ago
"CEO Dario Amodei predicted last March that in six months AI would be writing 90% of code, and when that didn’t happen" I mean, a lot of developers have 90% of their code being written by AI (myself and my friends at the labs incl
60.
by ej88 8mo ago
not enough people look at the slope, just the coords

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