This looks cool! But I guess it doesn't work with GitHub itself?
Github's cli tool `gh` is great for interacting with github in the terminal, e.g. opening PRs, checking workflows, PR status, etc). I do PR reviews on the site, but you can read comments in the terminal with `gh` (it does require internet access)
My day to day requires internet regardless of github, so there's no need to go for disconnected solutions, I think that's a different situation for the author. I quite like the idea of only turning the internet faucet on at select times!
The distance the boat has to cover is 11800 kilometers, and the truck covers only 54 kilometers. Taking that average of 12 times more usage from the table of sibling comment means the ship is still 20x worse.
Useful pointers, which match my experience well when trying this out. The one big question that springs to my mind is: when you've done all these steps, how much time did you really save?
You've chosen a strategy, broke down the solution into small easy to code parts, validated business logic, noted traps to avoid, searched for all relevant code, set up a context packing document particular to this section of the code base, experimented with multiple agents, reviewed each version of the code to see if you understand it-
That sounds like a lot of work!
And why, so the AI can do the last 10% of actually coding it up? Is there even a speedup here over doing it yourself? There's some evidence against AI speedups [1]. Of course some of these steps are themselves AI enhanced, and some of them are part of the work regardless of whether you use AI.
I still feel skeptical on this workflow and how big the gains could possibly be. I feel more for the alternate approach of writing it yourself, but using the AI for the boring parts (e.g. copy this section, but use those functions), or for sparring / research. I have however no data to show which approach takes less time.
I can however tell you from experimenting with full on vibe coding- you can do it with half the attention you'd give the task yourself. Is that what I'm gaining, that I can read a book during code generation? (https://xkcd.com/303/)
To my mind, the interjector is just playing a nitpick game: refocus the question (" I coudn't see it's back") to another ("did you circle the squirrel"), and then acting as though the original question is off topic.
Yes technically he did circle the squirrel from his reference point, what of it? that wasn't the point. The point was he couldn't see the squirrel, and this question is only tangentially related.
This was a great read. I think the twin concepts of rising expectations and rising requirements go a long way to explaining the complaints expressed by that popular 140k post.
I also really liked the game designer rule;
> People are very good at noticing when things suck. Not as good at figuring out why (...) If you want to address people’s concerns rather than win an argument, then it is you who must identify and state their concerns accurately.
I'd compare this to the concept of "steelmanning"- not easily dismissing a statement based on some small detail, but trying to adress the statement fully.
Surely you meant the latter? The boring option follows previous experience. No technology has ever not reached a plateau, except for evolution itself I suppose, till we nuke the planet.
My first part time dev job as a student featured me walking in on our CEO who showed me he was recompiling his kernel to enable some features. I'm quite sure he was just doing that to impress the students, but at least he knew how to!
Github's cli tool `gh` is great for interacting with github in the terminal, e.g. opening PRs, checking workflows, PR status, etc). I do PR reviews on the site, but you can read comments in the terminal with `gh` (it does require internet access)
My day to day requires internet regardless of github, so there's no need to go for disconnected solutions, I think that's a different situation for the author. I quite like the idea of only turning the internet faucet on at select times!
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