it's pretty great for coding because the CLI provides the model with all the context it needs and with a way to verify the result of its actions via linting, compiler messages and program output
Models need richer context to do well. They also generally need a verifier, but better context is already an improvement. So to fix it, you need to rethink UIs to be agent-first.
I'm not saying Kimi Work and its peers are entirely useless. I'm just saying they're a hack that puts a pretty low upper limit on agent capabilities and speed.
Says everyone who's not using this stuff. It's an empirical argument. Is anyone actually using this for work? How long has it been since Cowork was released?
It's such an inadequate tool for work it reeks of SF hubris to think you can just slap a chat input box onto a PC and replace 90% of white collar jobs.
Hmm if you assume the 80% is uniformly distributed between successful and unsuccessful startups/companies, which by default you should, then yeah, your proposed statement is true.
Data would be needed to argue the 80% skews unsuccessful
OK, this actually worked as advertised. I feel dopamined.
I just wished the delivery took longer and there was a payment process that longer than an instant. Could have a saved card on file that you could use.
This workflow alone is immensely powerful, and takes alot of burden off the team.
ITSM those unsupervised workflows are essentially an attempt at purported productivity in the near term at the expense of meaningful incremental long term burden for teams.
The only ostensible benefit is in the eyes of the AI-psychotic tinkerer, who knows no better, or in those of the clout-chasing developer farming likes on their LinkedIn posts.
I used claude code, codex, and pi. Both claude code and codex feel like hot garbage. Codex sometimes hits 100% cpu after I close the terminal I was using it in and stays there until killed. Claude code will say things like 'press escape to cancel this dialog' but when I press escape it leaves the dialog open and interrupts claude instead. The behaviour of both changes from day to day.
Pi works. I haven't used it heavily enough to have opinions about the design, but it feels like a regular piece of software instead of a fever dream with unit tests. All three are heavily vibe-coded, so I'm curious what the pi folks are doing differently to maintain some baseline level of code quality.
sadly, Anthropic has mistaken the quality of their model for the quality of their tools, so they force their subscribers to stay with their inferior client lest they wish to pay API prices, which I don't understand why anyone would
HN auto edits some clickbaity/tropey titles in submissions.
Submitters have a grace period of several minutes to edit them back to anything they want, which will not get autocorrected, but many fail don't. They may not realize it or be too lazy to care, we'll never know. (Personally, I think anyone who considers themselves a "hacker" would at least try to bypass such a primitive system, but I digress...)
Some HNers complain every time that happens, gleefully oblivious to the countless other times the autoedit feature works as advertised.
And Django makes it ridiculously easy to write those raw queries in SQL directly so it seems like you're getting lots of mileage from the ORM without giving up anything